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CURRICULUM VITAE I. PERSONAL DATA Name: Xiaohua Douglas Zhang (holding USA Citizenship) Email: [email protected] Lab Websitehttps://quantitativelab.fhs.umac.mo/ II. EDUCATION School Date Major/Minor Courses Degree Guanghua School of Management Peking University Beijing, China December 2017 Management EMBA Carnegie Mellon University Pittsburgh, PA May 2002 Statistics under the direction of Professor Kathryn Roeder Ph.D Texas A & M University College Station,TX 01/97-12/98 Genetics Ph.D.student (ABD) Beijing Normal University Beijing, China June 1996 Genetics M.S. Beijing Normal University Beijing, China June 1990 Biology B.S. III. ACADEMIC AND PROFESSIONAL HONORS 2014 Present, Fellow of American Statistical Association (ASA Fellow) 2019 Present, IEEE Senior Member 2014 Present, Elected Member of International Statistical Institute (ISI Elected Member) 2018, Annual performance was ranked as Outstanding in research, teaching and service for the school year of 2017 2018 in Faculty of Health Sciences, University of Macau. 2013 Annual Top Performer, BARDS, Merck Research Laboratories 2013 Four articles (2 single-authored, 1 first-authored and 1 second-authored) have been listed among the top 50 most-cited articles in Journal of Biomolecular Screening 2008 One co-authored article highlighted in Nature Medicine‘s year-end review on Notable Advances 2008 Distinguished Faculty, RNAi World Congress, Boston 2007 Merck Award for Exceptional Accomplishments, BARDS, Merck Research Laboratories 2007 Merck Award for Excellence, BARDS, Merck Research Laboratories 2006 Merck Award for Excellence, External Scientific Affairs, Merck Research Laboratories 2001 Charlie Sampson Poster Award, The 24 th Midwest Biopharmaceutical Statistics Workshop 1999 2002 Scholarship, Carnegie Mellon University 1997 Regent's Fellowship, Texas A&M University (very competitive university-wide) 1996 First-Place Award in Research, Department of Biology, Beijing Normal University 1994 Second-Place Medal for the Development of Science & Technology, Jiangxi, China (0 2 awards are given province-wide annually) 1993 Third-Place Award in Research for Young Scientists, Nanchang, Jiangxi, China

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Page 1: CURRICULUM VITAE I. PERSONAL DATA Name: …...• Lead data analysis and develop novel statistical methods for analyzing RNAi high-throughput screens, high-throughput genomics (HTG)

CURRICULUM VITAE I. PERSONAL DATA Name: Xiaohua Douglas Zhang

(holding USA Citizenship) Email: [email protected]

Lab Website: https://quantitativelab.fhs.umac.mo/

II. EDUCATION School Date Major/Minor Courses Degree Guanghua School of Management Peking University Beijing, China

December 2017

Management EMBA

Carnegie Mellon University Pittsburgh, PA

May 2002

Statistics under the direction of Professor

Kathryn Roeder

Ph.D

Texas A & M University College Station,TX

01/97-12/98 Genetics Ph.D.student (ABD)

Beijing Normal University Beijing, China

June 1996 Genetics M.S.

Beijing Normal University Beijing, China

June 1990 Biology B.S.

III. ACADEMIC AND PROFESSIONAL HONORS • 2014 – Present, Fellow of American Statistical Association (ASA Fellow)

• 2019 – Present, IEEE Senior Member

• 2014 – Present, Elected Member of International Statistical Institute (ISI Elected Member)

• 2018, Annual performance was ranked as Outstanding in research, teaching and service for the school year of 2017 – 2018 in Faculty of Health Sciences, University of Macau.

• 2013 Annual Top Performer, BARDS, Merck Research Laboratories

• 2013 Four articles (2 single-authored, 1 first-authored and 1 second-authored) have been listed among the top 50 most-cited articles in Journal of Biomolecular Screening

• 2008 One co-authored article highlighted in Nature Medicine‘s year-end review on Notable Advances

• 2008 Distinguished Faculty, RNAi World Congress, Boston

• 2007 Merck Award for Exceptional Accomplishments, BARDS, Merck Research Laboratories

• 2007 Merck Award for Excellence, BARDS, Merck Research Laboratories

• 2006 Merck Award for Excellence, External Scientific Affairs, Merck Research Laboratories

• 2001 Charlie Sampson Poster Award, The 24th Midwest Biopharmaceutical Statistics Workshop

• 1999 – 2002 Scholarship, Carnegie Mellon University

• 1997 Regent's Fellowship, Texas A&M University (very competitive university-wide)

• 1996 First-Place Award in Research, Department of Biology, Beijing Normal University

• 1994 Second-Place Medal for the Development of Science & Technology, Jiangxi, China (0 – 2 awards are given province-wide annually)

• 1993 Third-Place Award in Research for Young Scientists, Nanchang, Jiangxi, China

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IV. EMPLOYMENT HISTORY Academic Experience Professor (2016 – Present), Faculty of Health Sciences, University of Macau, Macau

• Research

o Digital health, digital medicine and artificial intelligence

o High-throughput genomics including high-throughput screening, RNA-seq and whole genome

sequencing

o Medical big data facility management including HPC

o Wearable medical monitoring studies and analysis

o High-throughput phenotyping

• Teaching

o Advisor for Ph.D. students and postdoc

o Key Committee Member for establishing a new undergraduate major in Bioinformatics (2018)

o Key Committee Member for establishing a new Master major in Data Sciences (2018)

o Develop two new course proposals for the new MS program in Data Sciences (2018)

▪ Artificial Intelligence in Medicine

▪ Digital Biomedicine

o Courses Taught:

▪ HSCI3003 Biostatistics and Experimental Design (Spring 2019, Spring 2018)

▪ GEST1002 Quantitative Reasoning for Social Sciences (320 students, Spring 2019,

Spring 2018)

▪ MBBM832 Current Topics in Biomedical Instrumentation Design (Spring 2018)

▪ MBBM824 Current Topics in Bioinformatics (Fall 2018, Fall 2017, Fall 2016)

▪ MBBM801 Methodologies in Molecular Biology and Biomedicine (Fall 2018, Fall

2017, Fall 2016)

▪ MBBM833 Current Topics in Drug Discovery Technologies (Spring 2017)

• Service

o Member in the University-wide Information and Education Technology Committee (2016 –

2019)

o Member in the University-wide High Computing Facility Committee (2018 – Present)

o Member in FHS Faculty Executive Committee (2018 – Present)

o Member in FHS UMMTP Macao Post-doctoral Fellowship (2018 – Present)

o Member in FHS Faculty Academics Personnel Committee (2017 – Present)

o Member in FHS Graduate Studies Committee (2017 – Present)

o Member in FHS Searching Committee for UM Macau Fellow (2016 - Present)

o Fellow in Chao Kuang Piu College (2016 - Present)

o Establish a University-wide Entrepreneurial Team for Innovation (2017 - Present)

Visiting Professor (Aug – Dec 2019), Department of Biostatistics, School of Public Health, Yale University, New Haven, Connecticut, USA,

• Conduct research on biomedical data

• Manage clinical trials and epidemiology studies

Lecturer (Jul – Dec 1996), Jiangxi Medical College, Nanchang, Jiangxi, China,

• Taught two courses: Medical Genetics and Experiments in Medical Biology

• Administered exams and assignments in both courses

Researcher and Group Leader (Aug 1990 – Aug 1993), Nanchang Institute of Fisheries, Nanchang, Jiangxi, China,

• Obtained a grant to conduct genetic breeding of carps

• Conducted breeding and genetic analysis of a variety of commercial freshwater fishes

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CURRICULUM VITAE - Xiaohua Douglas Zhang Page 3

• Led a team to conduct breeding and production of Colossoma brachypomum, leading to the award of the Second-Place Medal for the Development of Science & Technology

Industrial Experience at Merck Research Laboratories (2002 – 2016) Senior Principal Scientist (2015 – 2016), Director of BARDS and Head of Early Development Statistics – Asian Pacific (January 2012 – Dec 2014), Associate Director (July 2008 – 2012), Senior Biometrician (March 2005 – June 2008), Biometrician (February 2002 – February 2005), Merck Research Laboratories, West Point, PA.

• Methodology development and data analysis for continuous glucose monitoring experiments for diabetes

• Methodology development and data analysis for RNA-seq based next generation sequencing experiments

• Establish and maintain a biostatistics team working on projects from drug discovery, safety assessment,

up to Phase IIb in China, providing design, analysis and writing for more than 80 Phase I studies aswell

as for many NHP, NGS and HTS experiments.

• Chair a committee for Communication, Innovation and Outreach and another committee for Team

Building for Merck BARDS – AP

• Teach a joint course ‘Design and Analysis of Clinical Trials’ in Dept. of Statistics, Peking University

• Lead protocol development and data analysis for pharmacokinetics and pharmacodynamics studies

• Lead data analysis and develop novel statistical methods for analyzing RNAi high-throughput screens,

high-throughput genomics (HTG) experiments and high-content screening (HCS) experiments

• Analyzed preclinical and clinical safety assessment projects

• Analyzed small molecular high throughput screening experiments

• Analyzed various microarray experiments including Flex-jet arrays, nylon arrays and Affymetric arrays

• Active in a company-wide Bayesian Working Group in applying Bayesian methods for risk analysis,

non-inferiority, probability of success, etc. in various Merck clinical trials

• Coordinated team works among Biometrics Research Department, Automated Biotechnology

Department and other groups in RNAi high-throughput screens for various diseases such as

Cardiovascular Diseases, Diabetes, Alzheimer's Diseases, Cancers, etc.

• Evaluated clinical and pre-clinical studies in multiple biotech companies during my dual diligent visits to

these companies

• Analyzed specificity and sensitivity in various biochemical and/or genomic assays

• Managed full-time employee and summer interns since 2005

• Built a general strategy for applying Bayesian methods for cardiovascular risk assessment in Merck

clinical trials

Adjunct Positions while Working in Merck Research Laboratories Academic advisor (2012 – 2015), Peking University and Beijing Normal University

• Major advisor for a post-doc in the Peking University – Merck joint program

• Committee member for establishing a post-doc program for Merck AP Research Center in China

• Co-advisor for a MS student in Beijing Normal University

Co-director (2011 – 2014), Sun Yat-Sen University – MSD Biostatistics and Bioinformatics Program, Sun Yat-Sen University, Guangzhou, Guangdong, China

• Conduct joint research

• Give lectures Adjunct Professor (2012-2014), Dept of Probability and Statistics, School of Mathematical Sciences, Peking University, Beijing, China

• Supervised a postdoc as an advisor in Peking University

• Taught a joint course ‘Design and Analysis of Clinical Trials’ and coordinated another course on SAS Programming for graduate students in Applied Statistics (Spring 2014, Fall 2012)

Part-Time Positions during Graduate Studies Summer Intern (May – August 2000), Johnson & Johnson, Raritan, NJ.

• Conducted data analysis for microarray experiments

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Teaching/Research Assistant (Jan 1999 – Dec 2001), Carnegie-Mellon University, Pittsburgh, PA

• Graded assignments and exams for various graduate and undergraduate statistics courses

• Led labs and held office hours

• Conducted data analysis for detecting susceptibility genes in Schizophrenia. Research Assistant (Jan 1997 – Dec 1998), Texas A & M University, College Station, TX

• Identified and recorded genotype of microsatellite in cattle

• Transferred bovine bacterial artificial chromosome (BAC) library

• Built multi-locus models for gene mapping in cattle Research Assistant (Sept 1993 – Jun 1996), Beijing Normal University, Beijing, China

• Electrophoresis of amylase, transterrin, albumin, haematoglobin etc. in five strains of chickens

• Genetic analysis of population structure in chickens

• Quantitative genetic analysis of economical traits of chickens

V. PROFESSIONAL SERVICES

Expert for Professional Evaluation • 2019 Reviewer for "Interdisciplinary approaches in oncogenic processes and therapeutic

perspectives: Contributions of mathematics and informatics to oncology" organized by ITMO Cancer of the French National Alliance for Life and Health Sciences (AVIESAN) jointly with the French National Cancer Institute (INCa).

• 2019 Reviewer for Health and Medical Research Fund from The Government of the Hong Kong Special Administrative Region (HKSAR)

• 2014 Expert for evaluation of Horizon2020 grant proposals on topic “development of new diagnostic tools and technologies: in vitro devices, assays and platforms”, remotely

• 2011(November) Expert for evaluation of grant proposals for – omics for rare diseases Panel for the European Union 7th Framework Programme Health Theme, Brussels, Belgium

• 2011(March) Expert for evaluation of grant proposals for Large-Scale Data Gathering Panel

for the EU 7th Framework Programme Health Theme, remotely

• 2011 Expert for evaluation in NIH Assay Development for High Throughput Molecular Screening Study Section, Santa Monica, California, USA

• 2009 Expert for evaluation of grant proposals for the EU 7th Framework Programme Health Theme, remotely

• 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014 Student Paper Competition Committee member and evaluator, ASA Biopharmaceutical

Editorial Services for Peer-Reviewed Professional Journals • 2019, Editorial Board Members, International Journal of Data Mining and Bioinformatics

• 2018, Guest Editor, special issue on Bioinformatics and System Biology, International Journal of Biological Sciences

• 2012, Guest Editor, special issue in Journal of Probability and Statistics

• December 2010 – Present, Editorial Board Member, Journal of Biometrics & Biostatistics

Referee for Peer-Reviewed Professional Journals • Bioinformatics (February 2018, November 2017, January 2013, November 2012, October,

September & January 2011, October 2008)

• Entropy (July 2019)

• Statistical Methods in Medical Research (August 2017, August 2018, November 2019)

• Mathematical Problems in Engineering (July 2017)

• The FASEB Journal (June 2017)

• International Journal of Biological Sciences (January 2016, August 2015)

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• Computer Methods and Programs in Biomedicine (June 2015)

• Advances in Genomics and Genetics (March 2014)

• Methods (February 2014, December 2013)

• PLOS ONE (August 2013)

• PLOS Computational Biology (June & January 2013)

• Journal of Biomolecular Screening (November & September 2013, January 2012, December, July 2010)

• Current Chemical Genomics (May 2011)

• IMECS Proceeding (January 2013, November 2010, December 2008, November 2007)

• BMC Bioinformatics (January 2010, November 2009)

• Statistics in Biopharmaceutical Research (October 2009, January 2009)

• Nature (August 2009)

• Nature Methods (April 2009)

• BMC Genomics (January 2009)

• Journal of American Statistical Association (January 2008, April 2007)

• Biometrical Journal (January 2005)

• Annals of Human Genetics (September 2003)

Professional Meeting Services • 2018. Organizer and Co-Chair. Workshop “Methods and Applications of Data Mining and

Machine Learning for Biomedical Engineering”, IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Madrid, Spain. December 3–6, 2018

• 2018. Chair of Local Organizing Committee and Executive Member in the Organizing Committee, The 8th National Conference on Bioinformatics and Systems Biology of China and the 1st (Macao) International Bioinformatics Symposium. Macau

• 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, Program Committee member for the International MultiConference of Engineers and Computer Scientists, Hong Kong

• 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, Conference Committee member for the IAENG International Conference on Bioinformatics, Hong Kong

• 2014, 2013, 2012, 2011, 2010, Program Committee member for International Conference on Information Science and Applications, Seoul, Korea.

• 2013, Organizer, Special session, “Statistics in biopharmaceutical research”, the 59th World Statistics Congress, Hong Kong

• 2010, Chair and organizer, Roundtable session ‘High-throughput screening and data analysis’, The Joint Statistical Meetings, Vancouver, Canada

• 2010, Chair and organizer, Special session ‘Data Analysis in Genome-scale RNAi Researches’, International Conference on Intelligent Systems for Molecular Biology, Boston, MA, USA.

• July 2008, chaired a session "Omics and System Biology for Antiviral Drug Discovery" in BIT's 1st Annual World Summit of Antivirals. Kunming, China

• June 2008, organized and chaired invited session “Statistics for Biotechnology” in the First Symposium of The International Society for Biopharmaceutical Statistics, Shanghai, China

• August 2007, organized invited session “Data analysis in High Throughput Screening Assays” in the Joint Statistical Meetings, Salt Lake City, UT

• June 2006, chaired session “SESSION 8-BIOCOMP: INTELLIGENT DRUG DESIGN” in the International Conference on Bioinformatics & Computational Biology, Las Vegas, Nevada

• August 2005, organized and chaired invited session “Pharmacogenomics” in the Joint Statistical Meetings, Minneapolis, MN, USA

• August 2005, organized and chaired luncheon roundtable “Pharmacogenomics: the Critical path to Personalized Medical Products” in the Joint Statistical Meetings, Minneapolis, MN

• August 2004, organized contributed session “Microarray” for the Joint Statistical Meetings, Toronto, Ontario

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• August 2003, organized and chaired contributed session “Genetics Data Analysis I” in the Joint Statistical Meetings, San Francisco, CA

VI. SOCIETY MEMBERSHIPS

Chairman of Executive Board, 2018 – Present

Founder, 2018

Macau Association for Bioinformatics

Member,Institute of Electrical and Electronics Engineers (IEEE) 2015 – Present

Member,American Association for the Advancement of Science 2015 – Present

Member,Biometrics Section, lifetime (from 2018)

Member,Section on Statistical Computing, lifetime (from 2018)

Member,Biopharmaceutical Section, lifetime (from 2004)

Elected Fellow, lifetime (from 2014)

Member,American Statistical Association lifetime (from 2002)

Elected Member, International Statistical Institute lifetime (from 2014) Founder and Chair, Biopharmaceutical Section, 2014 – Present Executive Member of Executive Board, 2014 – 2021 Member of Excetive Board, 2012 – 2014 Functional Genomics and System Biology, Chinese Society for Cell Biology Excecutive Member of Executive Board, 2018 – 2023 Committee of Mathematical Life Science, China Society for Industrial and Applied Mathematics Member of Executive Board, IEEE Macau 2018 – 2019

Member of Executive Board, Allergy Medicine Professional Committee (ACIC), 2018 – 2023

The China Research Hospital Association Vice Chairperson, Specialty Committee of Reproductive Medicine 2014 – 2019

World Federation of Chinese Medicine Society Core member of the DIA China Statistics SIAC 2012 – 2014

International Society for Computational Biology 2009 – Present International Society for Biopharmaceutical Statistics 2008 – Present

Drug Safety Executive Council 2007 – 2015 International Association of Engineers 2007 – 2015 International Conference on Bioinformatics 2007 – 2015

Institute of Mathematical Statistics 1999 - 2001

VII. PUBLICATIONS Books

1. Zhang XD, 2011. Optimal High-Throughput Screening: Practical Experimental Design and Data Analysis for Genome-scale RNAi Research. Cambridge University Press, Cambridge, UK (ISBN: 9780521734448 or 9780521517713, amazon.com).

Ph.D. thesis

Zhang X, 2002. Statistical methods for discovering disease susceptibility genes in human populations. Department of Statistics, Carnegie-Mellon University, PA, USA. Articles in peer-reviewed journals

1. Chen C#, Sun S#, Cao Z, Shi Y, Sun B, Zhang XD*. 2019. Comparison of R packages for calculating sample entropy. Biology Methods & Protocols (Under revision)

2. Huang C#, Zhu B#, Leng D, Ge W*, Zhang XD*. 2019. The lncRNAs Implicated in RedoxEDOX Regulation in Ybx1 Deficient Zebrafish Larvae. (Submitted)

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3. Zhang T#, Jin Y#, Liu Y, Sun S, Zhang XD*. 2019.Influence of signal characteristics on multiscale entropy. (under submission)

4. Leng D#, Huang C#, Lei KC, Sun S, Sun B, Zhang XD*. 2019. Co-expression network analysis of lncRNAs and mRNAs in Rats liver tissue reveals the complex interactions in response to pathogenic cytotoxicity. International Journal of Biological Sciences 15: 2296-2307

5. Chen X#, Wang D#, Lin J, Zhang T, Deng S, Huang L, Jin Y, Chen C, Zhang Z, Zheng J, Sun B, Bogdan P, Zhang XD*. 2019. Analyzing complexity and fractality of glucose dynamics in a pregnant woman with type 2 diabetes under treatment. International Journal of Biological Sciences 15(11): 2373-2380

6. Wu G#, Meng X#, Zheng P, Zhang XD, Li L, Hu H, Sun B*. 2019. Elevated serum levels of periostin in patients with Allergic Bronchopulmonary Aspergillosis. Mycoses 62(9):780-789 (doi: 10.1111/myc.12957)

7. Huang C#, Leng D#, Lei KC, Sun S, Zhang XD*. 2019. Transcriptome analysis reveals lncRNA-mediated complex regulatory network response to DNA damage in the liver tissue of Rattus norvegicus. Journal of Cellular Physiology 234:23216–23231.

8. Sun X, Liu X, Xia M, Shao Y, Zhang XD*. 2019. Multicellular gene network analysis identifies a macrophage-related gene signature predictive of therapeutic response and prognosis of gliomas. Journal of Translational Medicine 17 (1), 159

9. Dong X#, Chen C#, Geng Q, Cao Z, Chen X, Lin J, Yu J, Zhang Z, Shi Y, Zhang XD*. 2019

An improved method of handling missing values in the analysis of sample entropy for continuous monitoring of physiological signals. Entropy 21(3), 274 (doi: 10.3390/e21030274)

10. Chen X#, Guan W#, Sun S, Zheng P, Sun L, Chen D, Wang D, Chen C, Sun B*, Zhang XD*. 2019. Effects of intranasal cellulose powder on asthma control in children with mild-to-moderate persistent allergic rhinitis: A single-center, randomized, placebo-controlled trial. American Journal of Rhinology & Allergy 33 (2), 184-193

11. Huang C, Leng D, Sun S, Zhang XD*. 2019. Re-analysis of the coral Acropora digitifera transcriptome reveals the a complex lncRNAs-mRNAs interaction network implicated in response of transcript repertoire to Symbiodinium infection. BMC Genomics 20:48 (doi:

10.1186/s12864-019-5429-3) 12. Shi Y*, Li Y, Cai M, Zhang XD. 2019. A lung sound category recognition method based on

wavelet decomposition and BP neural network. International Journal of Biological Sciences 15(1): 195-207. (doi: 10.7150/ijbs.29863)

13. Wang YY#, Jin Y#, Chen C#, Zheng W#, Wang SB#, Ungvari GS, Ng CH, Zhang XD, Xiang YT*. 2019. Meta-analysis of adherence to highly active antiretroviral therapy in patients with HIV infection in China. AIDS Care 31:8, 913-922 (doi: 10.1080/09540121.2018.1554238)

14. Wang Y, Shan Y, Gao X, Gong R, Zheng J, Zhang XD, Zhao Q. 2018. Screening and expressing HIV-1 specific antibody fragments in Saccharomyces cerevisiae. Molecular Immunology 103:279-285.

15. Zou J, Zhang W, Zhang H, Zhang XD, Peng B, Zheng J. 2018. Studies on Aminoglycoside Susceptibility Identified a Novel Function of KsgA to Secure Translational Fidelity during Antibiotic Stress. Antimicrobial Agents and Chemotherapy 62 (10), e00853-18.

16. Xue M#, Wang D#, Zhang Z, Cao Z*, Luo Z, Zheng Y, Lu J, Zhao Q, Zhang XD*. 2018. Demonstrating the Potential of Using Transcutaneous Oxygen and Carbon Dioxide Tensions to Assess the Risk of Pressure Injuries. International Journal of Biological Sciences 14(11):1466-1471 (doi:10.7150/ijbs.26987)

17. Sun S#, Jin Y#, Chen C, Sun B, Cao Z, Lo LL, Zhao Q, Zheng J, Shi Y*, Zhang XD*. 2018. Entropy Change of Biological Dynamics in Asthmatic Patients and Its Diagnostic Value in Individualized Treatment: A Systematic Review. Entropy 20 (6), 402 (doi:10.3390/e20060402)

18. Chen Z#, Liu J#, Chu D#, Shan Y, Ma G, Zhang H, Zhang XD, Wang P, Chen Q, Deng C, Chen W, Dimitrov DS, Zhao Q*. 2018. A dual-specific IGF-I/II human engineered antibody domain inhibits IGF signaling in breast cancer cells. International Journal of Biological Sciences 14(7): 799-806 (doi: 10.7150/ijbs.25928)

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19. Ren S, Shi Y*, Cai M, Zhao H*, Zhang Z, Zhang XD. 2018. ANSYS-MATLAB co-simulation of mucus flow distribution and clearance effectiveness of a new simulated cough device. International Journal for Numerical Methods in Biomedical Engineering: e2978 (DOI:

10.1002/cnm.2978) 20. Xie R, Zhang XD, Zhao Q, Peng B, Zheng J*. 2018. Analysis of global prevalence of

antibiotic resistance in acinetobacter baumannii infections disclosed a faster increase in OECD countries. Emerging Microbes & Infections 7:31. (DOI 10.1038/s41426-018-0038-9)

21. Shi Y#, Wang G#, Niu J*, Zhang Q, Cai M, Sun B, Wang D, Xue M, Zhang XD*. 2018. Classification of sputum sounds using artificial neural network and wavelet transform. International Journal of Biological Sciences 14(8): 938-945 (DOI: 10.7150/ijbs.23855)

22. Zhang XD#*, Zhang Z#, Wang D. 2018. CGManalyzer: an R package for analyzing continuous glucose monitoring studies. Bioinformatics 34(9): 1609–1611 (DOI:

10.1093/bioinformatics/btx826) + 5yr IF 8.561

+ Rank 1 in Computational Mathematics by Scimago, Rank 3 in Mathematical & Computational Biology,

Rank 5 in Statistics and Probability 23. Ren S, Cai M, Shi Y*, Xu W, Zhang XD*, 2018. Influence of bronchial diameter change on

the airflow dynamics based on a pressure-controlled ventilation system. International Journal for Numerical Methods in Biomedical Engineering: e2929 (doi: 10.1002/cnm.2929)

24. Niu J#, Shi Y#*, Cai M, Cao Z, Wang D, Zhang Z, Zhang XD*. 2017. Detection of sputum by interpreting the time-frequency distribution of respiratory sound signal using image processing techniques. Bioinformatics 34(5): 820-827 (DOI: 10.1093/bioinformatics/btx652) + 5yr IF 8.561

+ Rank 1 in Computational Mathematics by Scimago, Rank 3 in Mathematical & Computational Biology,

Rank 5 in Statistics and Probability 25. Wang Y#, Liu H#, Leng D, Gao W*, Cai M, Xu W, Zhang XD, Shi Y*. 2017. New advances in

EMG control of anthropomorphic prosthetic hand. Science China Technological Sciences (DOI:

10.1007/s11431-017-9159-3) 26. Xu T, Ying T, Wang L, Zhang XD, Kang L, Huang T, Cheng L, Wang L*, Zhao Q*. 2017. A

native-like bispecific antibody suppresses the inflammatory cytokine response by simultaneously neutralizing tumor necrosis factor-alpha and interleukin-17. Oncotarget 8(47): 81860–81872. (doi: 10.18632/oncotarget.19899)

27. Jin Y#, Chen C#, Cao Z, Sun B, Lo IL, Liu TM, Zheng J, Sun S, Shi Y*, Zhang XD*. 2017. Entropy change of biological dynamics in human chronic obstructive pulmonary disease. International Journal of Chronic Obstructive Pulmonary Diseases 12: 2997–3005 (doi:

10.2147/COPD.S140636) 28. Chen C#, Jin Y#, Lo IL, Zhao H, Sun B, Zhao Q, Zheng J, Zhang XD*. 2017. Complexity

Change in Cardiovascular Diseases. International Journal of Biological Sciences 13(10): 1320-1328 (doi: 10.7150/ijbs.19462)

29. Zhang XD#, Pechter D#, Yang L, Ping X, Yao Z, Zhang R, Shen X, Li N, Connick J, Hill D, Nawrocki AR, Li C*. 2017. Decreased complexity of glucose dynamics preceding the onset of diabetes in preclinical species. PloS ONE 12(9):e0182810 .(dio:10.1371/journal.pone.0182810)

30. Shi Y*, Zhang B, Cai M, Zhang XD*. 2017. Numerical Simulation of volume-controlled mechanical ventilated respiratory system with two different lungs. International Journal for Numerical Methods in Biomedical Engineering 33 (9): e2852 (doi: 10.1002/cnm.2852).

31. He L, Liu S, Shan C, Tu Y, Li Z, Zhang XD*. 2016. Demonstrating placebo effect in clinical trials of DPP-4 inhibiters conducted in China: Meta-analysis. BMC Pharmacology and Toxicology 17:40 (doi: 10.1186/s40360-016-0084-7)

32. Cox KS, Wang IM, Nefedov A, Zhang XD, Dubey S, Bett A, Casimiro D, Mandl J, Feinberg MB. 2016. Comparison of the TLR7 and TLR9 innate immune signaling pathways in african green monkeys and rhesus macaques. Journal of Immunology 196 (1 Supplement) 203.8

33. Zhao G, Li Q, Wang IM, Li X, Fang X, Zhang XD*. 2015. An effective analytic method for detecting tissue-specific genes from RNA-seq data. Pharmacogenomics 16 (16):1769-1779 (doi: 10.2217/pgs.15.118).

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34. Zhang XD*. 2015. Precision medicine, personalized medicine, omics and Big Data: concepts and relationships. Journal of Pharmacogenomics and Pharmacoproteomics 6:2 (doi: 10.4172/2153-0645.1000e144).

35. Kang H, Cho KH, Zhang XD, Zeng T*, Chen L*. 2015. Inferring sequential order of somatic mutations during tumorgenesis based on markov chain model. IEEE/ACM Transactions on Computational Biology and Bioinformatics 99 (10.1109/TCBB.2015.2424408)

36. Camargo LM, Zhang XD, Loerch P, Caceres M, Marine SD, Uva P, Ferrer M, Rinaldis E, Stone DJ, Majercak J, Ray WJ, Chen Y, Shearman MS, Mizuguchi K. 2015. Pathway-based analysis of genome-wide siRNA screens reveals the regulatory landscape of APP processing PLoS ONE 10(2): e0115369. (doi:10.1371/journal.pone.0115369)

37. Gould AL*, Zhang XD. 2014. Bayesian adaptive determination of the sample size required to assure acceptably low adverse event risk. Statistics in Medicine 33(6): 940-957 (DOI: 10.1002/sim5993)

38. Zhang XD*, Zhang Z. 2013. displayHTS: a R package for displaying data and results from high-throughput screening experiments. Bioinformatics 29 (6): 794–796 (doi:

10.1093/bioinformatics/btt060). + 5yr IF 8.561

+ Rank 1 in Computational Mathematics by Scimago, Rank 3 in Mathematical & Computational Biology,

Rank 5 in Statistics and Probability

39. Yang R*, Lacson RG, Castriota G, Zhang XD, Liu Y, Zhao WQ, Einstein M; Camargo, Luiz CM, Qureshi S, Wong KK, Zhang BB, Ferrer M, Berger JP. 2012. A genome-wide siRNA screen to identify modulators of insulin sensitivity and gluconeogenesis. PLoS ONE 7(5): e36384. (doi:10.1371/journal.pone.0036384)

40. Zhang XD*, Heyse JF. 2012. Contrast variable for comparing groups in biopharmaceutical research. Statistics in Biopharmaceutical Research 4 (3): 228 – 239 (DOI:

10.1080/19466315.2011.646905). 41. Zhang XD*, Santini F, Lacson R, Marine SD, Wu Q, Benetti L, Yang R, McCampbell A, Berger

JP, Toolan DM, Stec EM, Holder DJ, Soper KA, Heyse JF and Ferrer M. 2011. cSSMD: Assessing collective activity of multiple siRNAs in genome-scale RNAi screens. Bioinformatics 27(20): 2775-2781 (doi: 10.1093/bioinformatics/BTR474) +listed among the 50 most-frequently cited articles in Bioinformatics in 2013

+ 5yr IF 8.561

+ Rank 1 in Computational Mathematics by Scimago, Rank 3 in Mathematical & Computational Biology,

Rank 5 in Statistics and Probability 42. Zhang XD*. 2011. Illustration of SSMD, z-score, SSMD*, z*-score and t-statistic for hit

selection in high-throughput screens. Journal of Biomolecular Screening 16 (7): 775 - 785 (doi:

10.1177/1087057111405851). +listed among the 50 most-frequently cited articles in Journal of Biomolecular Screening since 2014

43. Zhang XD*, 2010. Contrast variable potentially providing a consistent interpretation to effect sizes. Journal of Biometrics & Biostatistics 1:108 (doi:10.4172/2155-6180.1000108).

44. Zhang XD*, Lacson R, Yang R, Marine SD, McCampbell, Toolan DM, Hare TR, Kajdas J, Berger JP, Holder DJ, Heyse JF, Ferrer M. 2010. The use of SSMD-based false discovery and false non-discovery rates in genome-scale RNAi screens. Journal of Biomolecular Screening 15: 1123 – 1131 (doi: 10.1177/1087057110381919).

45. Zhang XD*, 2010. An effective method controlling false discoveries and false non-discoveries in genome-scale RNAi screens. Journal of Biomolecular Screening 15: 1116 – 1122 (doi:

10.1177/1087057110381783). 46. Zhao WQ, Santini F, Breese R, Ross D, Zhang XD, Stone DJ, Ferrer M, Townsend M, Wolfe

AL, Seager MA, Kinney GG, Shughrue PJ, Ray WJ. 2010. Inhibition of calcineurin-mediated endocytosis and AMPA receptor prevent amyloid β oligomer-induced synaptic disruption. Journal of Biological Chemistry 285(10): 7619-7632 (doi:10.1074/jbc.M109.057182).

47. Zhang XD*. 2010. Assessing the size of gene or RNAi effects in multi-factor high-throughput experiments. Pharmacogenomics 11(2): 199 - 213 (doi:10.2217/PGS.09.136)

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48. Zhang XD*. 2010. Strictly standardized mean difference, standardized mean difference and classical t-test for the comparison of two groups. Statistics in Biopharmaceutical Research 2(2): 292-299 (doi: 10.1198/sbr.2009.0074)

49. Klinghoffer RA, Frazier J, Annis J, Berndt JD, Roberts BS, Arthur WT, Lacson R, Zhang XD, Ferrer M, Moon, RT, Cleary MA. 2009. A lentivirus-mediated genetic screen identifies

dihydrofolaste reductase (DHFR) as a modulator of -actenin/GSK3 signaling. PLoS ONE

4(9): e6892 (doi: 10.1371/journal.pone.0006892) 50. Zhang XD*, Heyse JF. 2009. Determination of sample size for hit selection in genome-scale

RNAi screens. Bioinformatics 25: 841-844 (doi:10.1093/bioinformatics/btp082) + 5yr IF 8.561

+ Rank 1 in Computational Mathematics by Scimago, Rank 3 in Mathematical & Computational Biology,

Rank 5 in Statistics and Probability 51. Zhang XD*, Shane SD, Ferrer M. 2009. Error rates and power in genome-scale RNAi

screens. Journal of Biomolecular Screening 14:230-238 (doi:10.1177/1087057109331475) 52. Zhang XD*. 2009. A method effectively comparing gene effects in multiple conditions in RNAi

and expression profiling research. Pharmacogenomics 10(3):345-358 (doi:10.2217/14622416.10.3.345)

53. Zhou H, Xu M, Huang Q, Gates AT, Zhang XD, Stec EM, Ferrer M, Hazuda DJ, Espeseth AS. 2008. Genome-scale RNAi screen for host factors required for HIV replication. Cell Host & Microbe 4(5):495-504 (doi:10.1016/j.chom.2008.10.004). +listed by Nature Medicine in its year end review on Notable advances in 2008 (http://www.nature.com/nm/journal/v14/n12/full/nm1208-1302.html)

+selected to appear in the cover page of the November issue of Cell Host & Microbe

+ 5yr IF 16.028

54. Zhang XD*, Kuan PF, Ferrer M, Shu X, Liu YC, Gates AT, Kunapuli P, Stec EM, Xu M, Marine SD, Holder DJ, Stulovici B, Heyse JF, Espeseth AS. 2008. Hit selection with false discovery rate control in genome-scale RNAi screens. Nucleic Acids Research 36 (14):4667-4679 (doi:10.1093/nar/gkn435). + 5yr IF 10.235

55. Zhang XD*. 2008. Genome-wide screens for effective siRNAs through assessing the size of siRNA effects. BMC Research Notes 1:33 (doi:10.1186/1756-0500-1-33).

56. Zhao WQ, Breese R, Wolfe AA, Ross DA, Santini F, Zhang XD, Ferrer M, Stone D, Seabrook GR, Stulovici B, Kinney GG, Ray WJ, Shughrue PJ. 2008. Targeting synaptic AMPA

receptors by A oligomers. Alzheimers & Dementia 4 (4):T197 (doi:

http://dx.doi.org/10.1016/j.jalz.2008.05.548). 57. Zhang XD*, Espeseth AS, Johnson E, Chin J, Gates A, Mitnaul L, Marine SD, Tian J, Stec

EM, Kunapuli P, Holder DJ, Heyse JF, Stulovici B, Ferrer M. 2008. Integrating experimental and analytic approaches to improve data quality in genome-wide RNAi screens. Journal of Biomolecular Screening 13(5): 378-389 (doi: 10.1177/1087057108317145).

+selected to appear in the cover page of the June issue

58. Zhang XD*, 2008. Novel analytic criteria and effective plate designs for quality control in genome-wide RNAi screens. Journal of Biomolecular Screening 13(5): 363-377 (doi:10.1177/1087057108317062) +listed among the 50 most-frequently cited articles in Journal of Biomolecular Screening since 2013

(http://jbx.sagepub.com/reports/most-cited) 59. Chung N, Zhang XD, Kreamer A, Locco L, Kuan PF, Bartz S, Linsley PS, Ferrer M, Strulovici

B. 2008. Median absolute deviation to improve hit selection for genome-scale RNAi screens. Journal of Biomolecular Screening 13: 149-158 (doi: 10.1177/1087057107312035). +listed among the 50 most-frequently cited articles in Journal of Biomolecular Screening since 2011

60. Clodfelter KH, Miles GD, Wauthier V, Holloway MG, Zhang XD, Hodor P, Ray WJ, Waxman DJ. 2007. Role of STAT5a in Regulation of Sex-specific Gene Expression in Female but not Male Mouse Liver Revealed by Microarray Analysis. Physiological Genomics 31:63-74 (PMID: 17536022).

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61. Zhang XD*. 2007. A new method with flexible and balanced control of false negatives and false positives for hit selection in RNA interference high throughput screening assays. Journal of Biomolecular Screening 12 (5): 645-655 (doi:10.1177/1087057107300645) +listed among the 50 most-frequently cited articles in Journal of Biomolecular Screening since April 2009

62. Zhang XD*, Ferrer M, Espeseth AS, Marine SD, Stec EM, Crackower MA, Holder DJ, Heyse JF, Strulovici B. 2007. The use of strictly standardized mean difference for hit selection in primary RNA interference high throughput screening experiments. Journal of Biomolecular Screening 12 (4): 497-509 (doi:10.1177/1087057107300646). +listed among the 50 most-frequently cited articles in Journal of Biomolecular Screening since 2008

63. Zhang XD*. 2007. A pair of new statistical parameters for quality control in RNA interference high throughput screening assays. Genomics 39: 552-561 (doi: 10.1016/j.ygeno.2006.12.014).

64. Kim JJ, Shirts BH, Dayal M, Bacanu S, Wood J, Xie W, Zhang X, Chowdari KV, Yolken R, Devlin B, Nimgaonkar VL. 2007. “Are exposure to cytomegalovirus and genetic variation on chromosome 6p as joint risk factors for schizophrenia?” Annals of Medicine 39(2):145-53 (doi:

10.1080/07853890601083808). 65. Espeseth AS, Huang Q, Gates AT, Xu M, Yu Y, Simon AJ, Shi X, Zhang XD, Hodor PG,

Stone D, Burchard J, Cavet GL, Bartz S, Linsley PS, Ray WJ, Hazuda DJ. 2006. A genome wide analysis of ubiquitin ligases in APP processing identifies a novel regulator of BACE1 mRNA levels. Molecular and Cellular Neuroscience 33(3): 227-235.

66. Zhang XD*, Yang XC, Chung N, Gates AT, Stec EM, Kunapuli P, Holder DJ, Ferrer M, Espeseth AS. 2006. Robust statistical methods for hit selection in RNA interference high throughput screening experiments. Pharmacogenomics 7 (3) 299-309 (doi:

10.2217/14622416.7.3.299). 67. Johnson TE, Zhang X, Shu S, Umbenhauer DR. 2005. Statins and PPAR agonists induce

myotoxicity in differentiated rat skeletal muscle cultures but do not exhibit synergy with co-treatment. Toxicology and Applied Pharmacology 208 (3) 210-221 (PMID: 16239165).

68. Roeder K, Bacanu S, Sonpar V, Zhang X, Devlin B. 2005. Analysis of Single-Locus Tests to Detect Gene/Disease Associations. Genetic Epidemiology 28 (3) 207-219 (PMID: 15637715)

69. Johnson TE, Zhang X, Bleicher KB, Dysart G, Loughlin AF, Schaefer WH, Umbenhauer DR. 2004. Statins induce apoptosis in rat and human myotube cultures by inhibiting protein geranylgeranylation but not ubiquinone. Toxicology and Applied Pharmacology 200 (3): 237-250 (PMID: 15504460).

70. Parrish ML, Wei N, Duenwald S, Tokiwa GY, Wang Y, Holder DJ, Dai H, Zhang X, Wright C, Hodor P, Cavet G, Phillips R, Sun BI, Fare TL. 2004. A microarray platform comparison for neuroscience applications. Journal of Neuroscience Methods 132: 57-68 (PMID: 14687675).

71. Zhang X, Roeder K*, Wallstrom G, Devlin B. 2003. Integration of association statistics over genomic regions using Bayesian adaptive regression splines. Human Genomics 1: 20-29 (doi:10.1186/1479-7364-1-1-20; PMID: 15601530).

72. Mao SX and Zhang X. 1999. Gene diversity, gene differentiation coefficients of parent populations and prediction of their F1 heterosis. Journal of Biomathematics 14: 7-11

Editorial Articles

73. Yongzhao Shao, Wei Pan, Zhang XD. 2012. Advanced designs and statistical methods for genetic and genomic studies of complex diseases. Journal of Probability and Statistics e805426 (doi: 10.1155/2012/805426)

Articles in Peer-Reviewed Proceedings

74. Lei K, Zhang XD*. 2018. An approach on discretizing time series using recurrent neural network. Proceedings of 2018 IEEE International Conference on Bioinformatics and Biomedicine: 2522 – 2526. (IEEE Catalog Number: CFP18BIB-USB; ISBN: 978-1-5386-5487-3)

75. Dong X#, Chen C#, Cao Z, Geng Q, Jin Y, Shi Y, Zhang XD*. 2018. An improved method for using sample entropy to reveal medical information in data from continuously monitored

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physiological signals. Proceedings of 2018 IEEE International Conference on Bioinformatics and Biomedicine: 2502 – 2506.

76. Huang C, Leng D, Li L, Zheng P, Sun B*, Zhang XD*. 2018. Transcriptome analysis of human peripheral blood reveals key circRNAs implicated in allergic bronchopulmonary aspergillosis. Proceedings of 2018 IEEE International Conference on Bioinformatics and Biomedicine: 2507 – 2514.

77. Jin Y, Zhang T, Cao Z, Zhao N, Chen C, Wang D, Lei K, Leng D, Zhang XD*. 2018. Prediction indicators for acute exacerbations of chronic obstructive pulmonary disease by combining non-linear analyses and machine learning. Proceedings of 2018 IEEE International Conference on Bioinformatics and Biomedicine: 2515 – 2521.

78. Leng D#, Huang C#, Lei K, Sun S, Zhang XD*. 2018. Exploration of dysregulated lncRNA-mRNA network from the RNA-seq data of rats induced by three different synthetic cytotoxic compounds. Proceedings of 2018 IEEE International Conference on Bioinformatics and Biomedicine: 2527 – 2534.

79. Sun S, Chen C, Huang C, Zhang XD*.2018. Application of arrayed CRISPR/Cas9 screen and its data analysis: a systematic review. Proceedings of 2018 IEEE International Conference on Bioinformatics and Biomedicine: 2549 – 2555.

80. Wang D#, Zheng P#, Teng Zhang, Cheng Li, Lichun Chen, Yingying Zhai, Dongliang Leng, Yu Jin, Sun B*, Zhang XD*. 2018. Analysis of the complexity patterns in respiratory data. Proceedings of 2018 IEEE International Conference on Bioinformatics and Biomedicine: 2556 – 2560.

81. Zhang T#, Jin Y#, Sun S, Liu Y, Zhang XD*. 2018. Analysis of impact factors of multiscale entropy. Proceedings of 2018 IEEE International Conference on Bioinformatics and Biomedicine: 2568 – 2572.

82. Zhang XD, Wang D, Zhao H. 2016. Thoughts on informatization and atandardization of the diagnosis in traditional Chinese medicine. Proceedings of the 13th World Congress of Traditional Chinese Medicine.

83. Wenxian Huang, Zhang XD, Yong Li, William W Wang, Keith Soper. 2012. Standardized median difference for quality control in high-throughput screening. Proceedings of 2012 International Symposium on Information Technologies in Medicine and Education (ITME): 515 – 518.

84. Zhang XD*. 2007. Threshold determination of strictly standardized mean difference in RNA interference high throughput screening assays. IMECS Proceeding: 261-266

85. Zhang XD*, Espeseth AS, Chung N, Ferrer M. 2006. Evaluation of a novel metric for quality control in an RNA interference high throughput screening assay. BIOCOMP:385-390.

Articles in Non-Peer-Reviewed Conference Proceedings

86. Zhang XD*. 2018. Digital medicine for diabetes. Proceedings of the 8th National Conference on Bioinformatics and Systems Biology of China and the 1st (Macao) International Bioinformatics Symposium: 360-361.

87. Jin Y, Zhang XD*. 2018. Prediction model for acute exacerbation of chronic obstructive pulmonary disease using psychological signals from home ventilators: a systematic review. Proceedings of the 8th National Conference on Bioinformatics and Systems Biology of China and the 1st (Macao) International Bioinformatics Symposium: 363.

88. Chen X,#, Wang D#, Lin J, Jin Y, Zhang T, Deng S, Huang L, Chen C, Zhang Z, Zheng J, Bogdan P, Zhang XD*. 2018. Demonstrating an effective method integrating CSII, CGM and complexity analysis to treat a pregnant woman with type II diabetes. Proceedings of the 8th National Conference on Bioinformatics and Systems Biology of China and the 1st (Macao) International Bioinformatics Symposium: 362.

89. Leng D, Huang C, Lei J, Sun S, Zhang XD*. 2018. Exploration of dysregulated lncRNA-mRNA network from the RNA-seq data of rat depends on cytotoxin chemical treatment. Proceedings of the 8th National Conference on Bioinformatics and Systems Biology of China and the 1st (Macao) International Bioinformatics Symposium: 50.

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90. Huang C, Leng D, Zhang XD*. 2018. Transcriptome analysis reveals specific circRNAs implicated in two respiratory disease: ABPA and asthma. Proceedings of the 8th National Conference on Bioinformatics and Systems Biology of China and the 1st (Macao) International Bioinformatics Symposium: 346.

91. Deng M, Zhang XD*. 2018. Empirical likelihood test for the product of means. Proceedings of the 8th National Conference on Bioinformatics and Systems Biology of China and the 1st (Macao) International Bioinformatics Symposium: 133.

92. Zhang T, Zhang XD*. 2018. Analysis of Impact factors of multiscale entropy by numerical simulation. Proceedings of the 8th National Conference on Bioinformatics and Systems Biology of China and the 1st (Macao) International Bioinformatics Symposium: 132.

93. Dong X#, Chen C#, Geng Q, Cao Z, Jin Y, Shi Y, Zhang XD*. 2018. A method of handling missing values in the analysis of sample entropy for continuous monitoring of physiological signals. Proceedings of the 8th National Conference on Bioinformatics and Systems Biology of China and the 1st (Macao) International Bioinformatics Symposium: 118.

94. Sun S, Zhang XD*. 2018. Review of arrayed screens based on CRISPR/cas9 technology. Proceedings of the 8th National Conference on Bioinformatics and Systems Biology of China and the 1st (Macao) International Bioinformatics Symposium: 212.

95. Zhang XD*. 2013. A univariate statistical parameter for assessing effect size in multivariate settings for the comparison of two groups. Proceedings of the 59th ISI World Statistics Congress, Hong Kong: International Statistical Institute: 3062 – 3066.

96. Zhang XD*. 2010. A statistical method assessing collective activity of multiple siRNAs targeting a gene in RNAi screens. The 2010 American Statistical Association Proceedings [CD-ROM], Alexandria, VA: American Statistical Association: 3267-3281.

97. Zhang XD*. 2007. New concept of contrast in statistical analysis. The 2007 American Statistical Association Proceedings [CD-ROM], Alexandria, VA: American Statistical Association: 637-648.

98. Zhang XD*, Espeseth AS, Chung N, Holder DJ, Ferrer M. 2006. The use of strictly standardized mean difference for quality control in RNA interference high throughput screening experiments. The 2006 American Statistical Association Proceedings, Alexandria, VA: American Statistical Association: 882-886.

99. Zhang X*, Yang XC, Chung N, Gates AT, Stec E, Kunapuli P, Holder D, Ferrer M, Espeseth AS. 2005. Exploring statistical methods for hit selection in RNA interference high throughput screening experiments. The 2005 American Statistical Association Proceedings, Alexandria, VA: American Statistical Association: 775-780.

100. Shu XH, Zhang X, Li J, Wei N, Sun B. 2005. Power comparison of statistical methods for detecting differential expression in microarray experiments. The 2005 American Statistical Association Proceedings, Alexandria, VA: American Statistical Association: 723-729.

101. Zhang X*, Amaratunga D, Roeder K. 2003. Identifying important genes using differential expression and classification error. The 2003 American Statistical Association Proceedings, Alexandria, VA: American Statistical Association: 4751-4758.

Book Chapters

102. Zhang XD*. 2017. Entropy for the complexity of physiological signal dynamics. In Shen B. editor, Healthcare and Big Data Management Springer Nature Singapore.39-53. (DOI: 10.1007/978-981-10-6041-0_3)

103. He P, Wu Z, Zhang XD*, Geng Z. 2016. Identification of Causal Mediation Models with an Unobserved Pretreatment Confounder.In He H, Wu P and Chen D editors, Statistical Causal Inferences and Their Applications in Public Health Research. Springer International Publishing, Switzerland.241-262.

Articles in Peer-Reviewed Chinese Journals

104. Zhang X, Wang XY, Shu XH. 2003. DNA microarrays and data analysis. In Ma Y and Wang J. editors, The Principle and Technique of Neuroscience, Chongqing Publish House, Chongqing, China, 324-335

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105. Wang XY, Zhang X. 2003. DNA microarrays and their application in neuroscience. In Ma Y and Wang J. editors, The Principle and Technique of Neuroscience, Chongqing Publish House, Chongqing, China, 336-346

106. Zhang X, Zhang YX, Xiong CX. 1993. Breeding studies of Colossoma brachypomum in ponds. Nanchang Fisheries 51: 3-8

107. Zhang YX, Zhang X, Qian XK, Xiong CX. 1993. Survival studies and disease prevention of Colossoma brachypomum through winter. Nanchang Fisheries 51: 9-13

108. Xiong CX, Zhang YX, Zhang X. 1993. Breeding experiment of Colossoma brachypomum in high density. Nanchang Fisheries 52: 5-7

109. Xiong CX, Zhang YX, Zhang X. 1992. Breeding experiment of Carp. Nanchang Fisheries 50: 10-11

110. Xiong CX, Zhang YX, Liu JZ, Tu PW, Huang H, Zhang X. 1992. Survival experiment of Colossoma brachypomum through winter in well water. Nanchang Fisheries 50: 12-14.

111. Zhang X, Liu JZ, Chen DC, Li SQ, Xu LQ, Xiong CX, Qian XQ, Wang JL. 1992. Survival studies of Colossoma brachypomum through winter in spring water. Nanchang Fisheries 50: 16-19

*: corresponding author

#: co-first authors

VIII. PRESENTATIONS

1. Zhang XD (Podium Presentation), 2019. Complexity analysis for glucose dynamics. The Joint Statistical Meetings. Denver, Colorado, USA. 08/01

2. Wang D, Zhang XD (roudtable). 2019. Wearables, digital medicine and data science. The Joint Statistical Meetings. Denver, Colorado, USA. 07/31

3. Wang D, Zhang Z, Zhang XD (poster presentation). 2019. Continuous glucose monitoring technology and a workflow for its data analysis. The Joint Statistical Meetings. Denver, Colorado, USA. 07/30

4. Zhang XD (Invited), 2019. Precision Medicine and Digital Medicine. The 7th Meeting for for Diagnosis Technologies and Clinical Application on Allergy, Guangzhou Medical Association. Guangzhou, Guangdong, China. 05/18

5. Zhang XD (Invited), 2019. High-Throughput Biotechnologies and Data Science. Department of Statistics, University of Auckland, Auckland, New Zealand. 04/11

6. Zhang XD (Invited), 2018. Data Sciences and High-Throughput Biotechnologies. School of Data Sciences, City University of Hong Kong. 12/21

7. Zhang XD (Invited), 2018. Impact of Computational Methods in Drug Discovery & Development. The First Conference of Mathematical Life Science. Guangzhou, Guangdong, China.12/15

8. Zhang XD (peer-reviewed and selected), 2018. Continuous monitoring of human physiological signals for health and diseases. 2018 IEEE International Conference on Bioinformatics and Biomedicine. Madrid, Spain. 12/03 + Major international conference for bioinformatics organized by IEEE

9. Zhang XD (Invited Seminar), 2018. High-throughput Phenotyping and Its Medical Application. Institute of Oceanography, Southern University of Science and Technology. Shenzhen, Guangdong, China. 11/09

10. Zhang XD (Invited), 2018. High-throughput Phenotyping and Its Application in Diabetes Care. The First Workshop on Big Data Application in the China Great Bay Area. Jilin University, Zhuhai, Guangdong, China. 11/01-02

11. Zhang XD, 2018. Digital Medicine for Diabetes. The 8th National Conference on Bioinformatics and Systems Biology of China and the 1st (Macao) International Bioinformatics Symposium. Macau. 10/22-24 + Major national conference for bioinformatics in China

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12. Zhang XD (Invited), 2018. Is complexity in glucose dynamics the same in different types of diabetes. The 2nd Workshop on Innovation and Translational Medicine of the 1st Affiliated Hospital of Guangzhou Medical University. 09/07-10

13. Zhang XD (Invited), 2018. Bioinformatics in Drug Discovery and Development. FDCT-NSFC Forum for Ocean Sciences. 07/02-04

14. Zhang XD (Invited), 2018. Fractal Analysis for Digital Monitoring of Diabetes. Hangzhou International Conference on Frontiers of Data Science. 05/17-20 + international conference for data science

15. Zhang XD (Invited), 2017. Precision Medicine, Digital Medicine and Digital Detection of Sputum, Institute of Biophysics, Chinese Academy of Sciences, China. 11/28

16. Zhang XD (Invited), 2017. An Automatic Analytic Approach to Diagnose Sputum Status. Institute of Process Engineering, Chinese Academy of Sciences, Beijing, China. 11/27

17. Zhang XD (Invited), 2017. Digital Medicine, Precision Medicine, Wearables and Data Analysis. Beihang University, Beijing, China. 11/27

18. Zhang XD (Invited), 2017. Statistics, Digital Medicnie and an Automatic Analytic Approach to Diagnose Sputum Status.The 10th Meeting of China Society for Applied Statistics, Hangzhou, Zhejiang, China. 11/05

19. Zhang XD (Invited), 2017. Big Data and Analysis for Medical Studies. The 2017 Meeting for for Diagnosis Technologies and Clinical Application on Allergy, Guangzhou Medical Association. Guangzhou, Guangdong, China. 10/28

20. Zhang XD (Invited), 2017. Digit Medicine, Wearable Medical Device and Data Analysis. The 11th Annual Conference of Chinese Society of Biotechnology, Yichang, Hubei, China. 09/24

21. Zhang XD (Invited), 2017. Data Analysis for Continuous Glucose Monitoring. Glucose Monitoring and Case Studies of 3C Treatment for Diabetes, Guangzhou, Guangdong, China. 09/15

22. Zhang XD, 2017. Digital Medicine and Big Data Analysis. Founding Chair, The Third Workshop of Biopharmaceutical Section, Functional Genomics and System Biology, Chinese Society for Cell Biology, Changchun, Jilin, China. 08/05

23. Zhang XD, 2017. Digital Medicine and its Potential. the First Workshop on Advanced Statistical Techniques and Applications, Nanchang, Jiangxi, China 06/10

24. Zhang XD, 2017. Digital Medicine and its Perspective. Yuet Wah College, Macau. 03/24 25. Zhang XD (Invited), 2016. Analyzing Data in High-Throughput Genotyping and High-

Throughput Phenotyping Studies. Zhuhai Institute, Jilin University, Zhuhai, Guangdong, China 12/06

26. Zhang XD, 2016. Drug Discovery and Development Process and Legal Needs. Conference on Drugs and Medical Devices, Faculty of Law, University of Macau, Macau, 10/17

27. Zhang XD, 2016. High Throughput Phenotyping in Precision Medicine. The 1st International Conference of Infectious Diseases & Precision Medicine, Kylin Villa, Shenzhen, China, 10/13-10/14

28. Zhang XD, 2016. High-Throughput Phenotyping and its Potential Application in Biomedical Research. The 7th National Conference on Bioinformatics & Systems Biology and International Workshop on Advanced Bioinformatics & Precision Medicine. Chengdu, China, 10/6 – 10/9 + Major national conference for bioinformatics in China

29. Zhang XD (Invited), 2016. ‘Big data’/‘small data’ and their application in COPD. Beijing Chaoyang Hospital, Beijing, 9/26, 2016

30. Zhang XD (Invited), 2016. Biological System Dynamics and Complexity Analysis. Beijing Normal University, Beijing, 9/23

31. Zhang XD (Invited), 2016. Data Analysis in High-Throughput RNAi Screen and High-Throughput Phenotyping. Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 7/21

32. Zhang XD (Invited). 2016. High-Throughput Phenotyping and its Potential Application in COPD Research, The State Key Laboratory of Respiratory Disease, Guangzhou, 7/20

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33. Zhang XD. 2016. Continuous glucose monitoring and data analysis. The 3rd Macau Symposium on Biomedical Sciences, Macau, 5/23 – 5/24

34. Douglas CM, Zhang XD, Holder DJ, Lischka P. 2016. Letermovir Is Active Against Four Major Cytomegalovirus (CMV) gB Subtypes. ASM Microbe, Boston, USA, 6/16 – 6/20

35. Zhang XD (Invited). 2015. Precision Medicne, Big Data, Omics and Analysis, Reming University, Beijing, China 11/14

36. Zhang XD (Invited). 2015. RNAi High-Throughput Screening and Data Analysis, Chinese University of Hong Kong, Hong Kong. 10/9 (http://www.sta.cuhk.edu.hk/Events/Seminars.aspx?udt_495_param_detail=292)

37. Zhang XD (Invited). 2015. Precision medicine, omics and data analysis. RiboBio, Guangzhou, China. 10/8

38. Zhang XD (Invited). 2015. High-Throughput Screening and Quantitative Analysis, University of Macau, Macau. 10/6

39. Zhang XD (Invited). 2015. Precision Medicine and Big Data: Concepts and Data Analysis. Invited Seminar, Statistical Center, Peking University, Beijing, China, 5/10

40. Zhang XD (Invited). 2015. Precision Medicine, Omics and Big Data: Concept, Model and Analysis. The Forum for the Frontier Research in Bioinformatics, Zhuhai, Guangdong, China,

5/6 – 5/9

41. Zhang XD (Invited). 2015. Precision Medicine, Omics and Big Data. Invited Seminar, School of Mathematics and Computational Science, Sun Yat-Sen University, Guangzhou, China, 5/5, 2015 (http://math.sysu.edu.cn/main/cooperateAC/jz.aspx?id=578)

42. Zhang XD (Invited). 2014. Big Data and its applications in the pharmaceutical industry, The 6th National Conference on Bioinformatics & Systems Biology, Nanjing, China. 10/6- 10/9 + Major national conference for bioinformatics in China

43. Zhang XD (Invited). 2014. Big Data in the pharmaceutical industry, The Founding Meeting of Biopharmaceutical Section of Functional Genomics and System Biology, Chinese Society for Cell Biology. Wuyuan, Jiangxi, China. 9/10- 9/12

44. Zhang XD (Invited). 2014. Big Data era in medicine, The Founding Conference of Specialty of Reproductive Medicine Committee, World Federation of Chinese Medicine Societies. Harbin, Heilongjiang, China. 8/22- 8/24

45. Zhang XD. 2013 (Highlight-track). displayHTS and its application in visualizing high-throughput screening data and results, Translational Bioinformatics, Seoul, Korea, 10/1 – 10/4

46. Zhang XD. 2013 (Invited) RNAi high-throughput screening and quantitative analysis. Canton Nucleic Acids Forum, Guangzhou, China, 9/11 – 9/12

47. Zhang XD. 2013. Probability based metric for quality control in high-content screen, The 59th World Statistics Congress, Hong Kong, 8/26 – 8/30

48. Zhang XD. 2013. Bioinformatics in the biopharmaceutical process, The Forum for the Frontier Research in Bioinformatics, Mudanjiang, China, 7/28 – 8/1.

49. Zhang XD. 2013. displayHTS: a R package for displaying data and results from high-throughput screening experiments, The R Conference, Beijing, China, 5/18 – 5/19.

50. Zhang XD. 2013. Statistical support for early development in the pharmaceutical industry.

Invited Seminar (姜立夫学术报告), School of Mathematical Sciences, Nankai University,

Tianjing, China, 4/13/2013 (http://sms.nankai.edu.cn/html/kydt/xsjl01/1048.html) 51. Zhang XD. 2013. Statistical support in early development studies. Invited Presentation,

Conference on the Control of Chronic Diseases, Tianjing, China, 4/12/2013 52. Zhang XD. 2012. Phase I studies and data analysis. Invited Seminar, Aerospace Center

Hospital, Aerospace Clinical Medical College, Peking University,Beijing, China, 12/21/2012

53. Zhang XD. 2012. Genome-scale RNAi screens and data analysis. Invited Speaker, The 2nd International Biostatistics Conference, Beijing, China. 7/8/2012

54. Zhang XD. 2011. Statistical methods for genome-scale RNAi researches. Invited Seminar, , FDA, USA, 7/18/11

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55. Zhang XD. 2011. Development of statistical methods for analyzing genome-scale RNAi screens. Invited Seminar, Bioinformatics, East China Normal University, Shanghai, China, 4/6/11

56. Zhang XD. 2011. Statistical methods for analyzing genome-scale RNAi screens. Invited Seminar, Statistical Center, Peking University, Beijing, China, 3/24/11

57. Zhang XD. 2011. Statistical methods for high-throughput screening. Invited Seminar, Beijing Hospital, Beijing, China, 3/22/11

58. CAMARGO, L.M.* , CACERES, R.M., ZHANG, X.D., RAUBERTAS, R.F., FERRER, M., MARINE, S.D., UVA, P., DE RINALDIS, E., NARAYANAN, M., STONE, D.J., MAJERCAK, J.M., RAY, W.J., ROHL, C.A., JOHNSON, J.M., SHEARMAN, M.S., BLUNDELL, T., LOERCH, P.M., MIZUGUCHI, K. 2011. Pathway-based analysis of genome-wide sirna screens reveals the regulatory landscape of app processing. Alzheimer's And Parkinson's Diseases 10th International Congress, Barcelona, Spain, 3/9/11 - 3/13/11.

59. Zhang XD. 2010. Development of statistical methods for analyzing genome-scale RNAi screens. Invited Seminar, High Throughput Screening Center, St Jude Children's Research Hospital, Memphis, TN, 9/16/10

60. Zhang XD. 2010. Controlling FDR and FNDR in genome-scale RNAi screens.The 2010 Joint Statistical Meetings, Vancouver, Canada, 8/4/10 + Major international conference for statistics

61. Zhang XD (Roundtable). 2010. High-throughput screening and data analysis.The 2010 Joint Statistical Meetings, Vancouver, Canada, 8/2/10

62. Zhang XD (Special session). 2010. Development of analytic methods in genome-scale RNAi researches.The 2010 International Conference on Intelligent System for Molecular Biology (ISMB), Boston, MA, 07/09/10 – 07/13/10 + Major international conference for Bioinformatics

63. Yang R, Lacson RG, Castriota GA, Liu Y, Qureshi SA, Wong KK, Zhang XD, Zhao W, Zhang BB, Chen RZ, Ferrer M, Berger JP* 2011. Identification of genes that modulate hepatic insulin signaling and gluconeogenesis by a genome-wide sirna screen. American Diabetes Association 70th Annual Scientific Sessions, Orlando, Florida, 6/25/10 - 6/29/10.

64. Zhao W, Santini F, Zhang XD, Stone DJ, Ferrer M, Wolfe AL, Shughrue PJ, Ray WJ. 2010. Abeta oligomer-induced synaptic loss via calcineurin-mediated endocytosis. For presentation at: Neurobiology To Neurodegenerative Diseases And Therapeutics Meeting, New York City, New York, 6/7/11 - 6/8/10

65. Zhang XD (invited speaker). 2009. Data Analysis in RNAi High-Throughput Screens. World Pharmaceutical Congress, Philadelphia, PA, 06/09/09 – 06/11/09

66. Zhang XD. 2009. Statistical methods for genome-scale RNAi Screens. RNAi Meeting, North Wales, PA, 02/06/09

67. Zhang XD (invited seminar). 2008. Data Analysis in Genome-scale RNAi Research. Department of Statistics Seminar, Temple University. Philadelphia, PA, 12/05/08

68. Zhang XD. 2008. Analytic Methods in Genome-scale RNAi Research with applications in drug discovery for viral infectious diseases. BIT's 1st Annual World Summit of Antivirals. Kunming, China, 7/21/08 – 7/23/08

69. Zhang XD (invited speaker). 2008. New Development of Statistical Methods for Genome-wide RNA Interference Research. International Association of Biopharmaceutical Statistics Workshop. Shanghai, China, 6/30/08 - 7/2/08

70. Zhang XD. 2008. Data Analysis in Genome-scale RNAi Research. Merck IDEA Days. Long Beach, NJ, 5/13/08 - 5/14/08

71. Zhang XD (invited speaker as a distinguished faculty). 2008. Data Analysis and Experimental Designs in Genome-Wide RNAi Research. RNAi and miRNA World Congress. Boston, MA, 4/30/08 - 5/2/08

72. Zhao W , Breese R, Wolfe AL, Ross DA, Santini F, Zhang XD, Ferrer M, Stone DJ, Seabrook GR, Kinney GG, Ray WJ, Shughrue PJ. 2008. Evidence for interaction of abeta oligomers with ampa receptors in hippocampal neurons. Alzheimer's Disease International Conference (icad), Chicago, Illinois, 7/26/08 - 7/31/08

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73. Zhang XD. 2008. Adjusting for spatial effects in genome-scale RNAi Screens. RNAi Meeting, North Wales, PA

74. Zhang XD (invited speaker). 2007. Simple novel statistical parameters but quick solutions in High Throughput Screening assays. Joint Statistical Meetings. Salt Lake City, UT + Major international conference for statistics

75. Zhang XD, Ferrer M. 2007. Quality control methods for genome-scale RNAi studies. Informatics Forum, North Wales, PA

76. Marine SD, Zhang XD, Ferrer M, Stec EM, Szymanski SL, Minch E, Bagchi A, Tan EY, Wang I, Crackower M, Xanthoudakis S, Tam J, Gervais FG, Strulovici B, Berry KB, Lacson RG, Chung N, Brideau C. 2007. A sirna HTS to identify new regulators of mucin secretion: balancing transfection efficiency with assay quality. Assay Development And High-throughput Screening 2nd Meeting, Boston, Massachusetts, 5/31/07 - 6/1/07

77. Zhang XD (keynote speaker). 2007. Novel statistical approaches for data analysis in RNA interference high-throughput Screening technology. International Conference of Bioinformatics. Hong Kong, China

78. Zhang XD (Invited seminar). 2007. RNAi high throughput screening: A new biotechnology for discovering gene functions and drugs. Institute of Microbiology, Chinese Academy of Sciences. Beijing, China

79. Zhang XD (Invited seminar). 2007. Novel statistical approaches for data analysis in RNA interference high-throughput Screening biotechnology. Department of Mathematics and Physics, China University of Petroleum, Beijing, China

80. Zhang XD, Bolognese JA. 2007. RNA interference data analysis at Merck. Seminar for Senior Scientific Review Committee. Merck BARDS, Upper Gwoneld, PA

81. Zhang XD. 2007. Statistical methodology development and data analysis in RNAi high throughput screening assays. Merck BARDS G2 Workshop. Upper Gwoneld, PA

82. Zhou H, Xu M, Stec E, Zhang XD, Huang Q, Gates AT, Ferrer M, Hazuda D, Espeseth AS. 2007. Genome-scale siRNA Screen to Identify Host Factors as Novel Targets for Anti-HIV Therapy. Target to Phase IIb Symposium, Atlanta, GA

83. Ross D, Smith T, Kreamer T, Hare T, Huff K, Hudak E, Joyce J, Nahas D, Hepler R, Zhang XD, Stone D, Shughrue P, Ray J, Ferrer M, Strulovici B, Santini F. 2007. High Content Screening of a Mouse siRNA Library for Genes Interfering with the Binding and Internalization of ADDLs in N2a Neuroblastoma Cells. Target to Phase IIb Symposium, Atlanta, GA

84. Zhang XD, Ferrer M, Stec E, Liu Y, Ross D, Santini F, Kunapuli P, Lacson R, Locco L, Smith T, Chung N, Gates A, Zhao H, Xu M, Espeseth AS. 2006. Data processing and statistical analysis in RNA interference HTS experiments. Merck Global HTS Forum, Princeton, NJ

85. Zhang XD, Espeseth AS, Chung N, Ferrer M. 2006. Strictly standardized mean difference for quality control in RNA interference high throughput screening assays. Joint Statistical Meetings. Seattle, WA

86. Zhang XD, Espeseth AS, Chung N, Ferrer M. 2006. Evaluation of a novel metric for quality control in an RNA interference high throughput screening assay. The International Conference on Bioinformatics and Computational Biology. Las Vegas, Nevada, USA

87. Zhang X, Yang XC, Gates AT, Stec E, Kunapuli P, Ferrer M, Espeseth AS. 2005. Exploring statistical methods for hit selection in RNAi high throughput screening experiments. RNAi, Cold Spring Harbor, New York

88. Zhang X. 2005. An Introduction to Pharmacogenomics. (As a substitute for Dr. Goldstein in invited session “Pharmacogenomics”). The Joint Statistical Meetings. Minneapolis, MN

89. Zhang X. 2005. RNA Interference High Throughput Screening: A New Biotechnology for Discovering a Novel Class of Drugs. The Joint Statistical Meetings. Minneapolis, MN

90. Shu XH, Zhang X, Li J, Wei N, Sun B. 2005. Comparison of statistical methods for identifying differential expression in microarray experiment. The Joint Statistical Meetings. Minneapolis, MN

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91. Zhang X; Hodor P, Scafonass A, Bai C, Freedman L, Schmidt A. 2004. Expression profiles of glucocorticoids suggesting that RU486 has some agonist activity. Pharmacogenomics Conference, Cold Spring Harbor, New York

92. Zhang X, Roeder K, Wallstrom G, Devlin B. 2004. Integration of association statistics over genomic regions using Bayesian adaptive regression splines. International Biometric Society Eastern North American Region Spring Meeting, Pittsburgh, Pennsylvania

93. Johnson TE, Ebert TD, Wang Z, Zhang X, Umbenhauer DR, Deluca JG. 2004. Comparison between in vitro pregnane X receptor activation and in vivo cytochrome P-450 3A induction. Keystone Symposium: Nuclear Receptors, Keystone, Colorado

94. Zhang X, Amaratunga D, Roeder K. 2003. Identifying important genes using differential expression and classification error. The Joint Statistical Meetings. San Francisco, CA

95. Roeder K, Zhang X, Wallstrom G, Devlin B. 2003. Integration of association statistics over genomic regions using BARS. The 53rd Annual Meeting of the American Society of Human Genetics, Los Angeles, CA

96. Zhang X. 2001. Statistical methods for discovering disease susceptibility genes in human populations. Invited Seminar. Department of Health Evaluation Sciences, School of Medicine, Pennsylvania State University. Hershey, PA

97. Zhang X. 2001. Statistical methods for discovering disease susceptibility genes in human populations. Invited Seminar. Division of Biostatistics, Department of Medicine, Indiana University, Indianapolis, IN

98. Zhang X. 2001. Discovering candidate human disease susceptibility genes using microarrays. Invited Seminar. St Jude Children’s Research Hospital. Memphis, TN

99. Zhang X, Amaratunga D, Roeder K. 2001. A Clustering Approach to Cancer Prediction Using Microarray Data. The Annual Meeting of American Statistics Association Pittsburgh Chapter, Pittsburgh, PA

100. Zhang X, Amaratunga D, Roeder K. 2001. Cancer Prediction Using Gene Expression Data. The 24th Midwest Biopharmaceutical Statistics Workshop, Muncie, IN

101. Zhang X. 2000. Investigating the Association of Inbreeding and Schizophrenia. Advanced Data Analysis Report. Department of Statistics, Carnegie Mellon University, Pittsburgh, PA

102. Zhang X. 2000. A clustering approach to class prediction using gene expression data. Summer Intern Report. The R.W.J. Pharmaceutical Research Institute, Raritan, NJ

103. Mao SX, Zhang X. 1995. Genetic distance between parental population and the prediction of heterosis in F1. The 5th National Conference in Genetics, Jinan, Shandong, China.

IX. MANAGERIAL EXPERIENCE

• Managed and supervised postdocs, research assistants and graduate students in the academics. 2016 – present

• Supervised postdocs in the industry. 2013 - 2015

• Establish and manage a team providing statistical support for non-/pre- clinical, phase I, experimental medicine, clinical biomarker studies in Merck. 2012 – 2014

• Managed full-time regular employees and/or interns in Merck. 2005 – 2014

X. Grants

• FDCT 0004/2019/AFJ (The Science and Technology Development Fund, Macau SAR): Research of Humanoid Analytic Reasoning and Assisted Diagnosis and Treatment toward Healthcare Big Data. MOP1,735,800. Principal Investigator, 2019 – 2022.

• FHS-CRDA-029-002-2017: Complexity studies on physiological signals. ~MOP9,000,000. Principal Investigator, 2017 – 2021.

• EF005/FHS-ZXH/2018/GSTIC: Development of genome-wide CRISPR-Cas9 library and

high-throughput screening technology)。RMB2,000,000

Co-Principal Investigator, 2018 - 2021

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• MYRG2018-00071-FHS: Development of a safe, effective, and intelligent method for sputum clearance. MOP899,940. Principal Investigator, 2019 – 2021

• SRG2016-00083-FHS: Explore and Develop Quantitative Methods for Analyzing Single-Cell RNA-Seq Experiments. MOP250,000. Principal Investigator, 2017 – 2020