HARRY COPPOCK (HE/HIM/THEY/THEM)

PhD and PGCert candidate, MSc and MEng graduateR harry.coppock@imperial.ac.uk ½ Imperial College London, UK Ó +447727730244� https://github.com/harrygcoppock g https://harrycoppock.com � Google Scholar

TEACHINGDeep Learning - 70010Course Support Lead

� 2020-presentIntro to Machine Learning - 70050Course Support Lead

� 2020-presentPython Programming - 70053Course Support Lead

� 2020-presentEthics, Privacy, AI in Society - 70052Teaching Assistant

� 2021-presentplease refer to my website for more detail onteaching methods and materialsAWARDS• Imperial College London’s Distinguished Indi-vidual Project Prize for work on Vector Quan-tised Variational Autoencoders for representa-tion learning 2020

• The University of Manchester’s OutstandingAcademic Achievement award - awarded to0.5% of the graduating cohort for studentswho have demonstrated exceptional achieve-ment in their undergraduate academic career2019

• The Engineering "Faculties Prize(s) for HighestPerformance in {First, Second, Third, Fourth}Year" 201{6,7,8,9}

• "The Tin Plate and Rolls Royce Prize" for topperformance in Third year 2018• "The Robert Warner Scholarship" - a nationalaward, screened through performance andchosen through interview 2017• "The British Steel Prize" for performance inmetallurgy 2016• The School of Materials Prize for OutstandingHome and Overseas Application 2015

• The Captain’s Prize for my service as HeadBoy at QEH school 2014• Commendation for high performance at Alevel 2014• Commendation for high performance at GCSE2012

EDUCATIONArtificial Intelligence (PhD)Imperial College London� Oct 2020 – Present ½ London, UKCurrently studying as a PhD Candidate in the field of Artificial Intelli-gence under the supervision of Prof. Björn Schuller. My current linesof research are self-supervised learning for audio procession and bioa-coustic analysis.Postgraduate Certificate in Higher Education (PGCert)Imperial College London� 2021 – Present ½ London, UKCurrently studying part time for a PGCert in higher education as a Teach-ing Scholar.Artificial Intelligence (MSc)Imperial College London� Sept 2019 – Sept 2020 ½ London, UK• Distinction (82%) with Distinguished Individual Project• Course content: Reinforcement learning, Introduction to Machine Learning,Mathematics for Machine learning, Symbolic AI, Python programming, Nat-ural Language Processing, Deep Learning, Machine Learning for Imaging, AIEthics and Privacy, Software Engineering group project and an Individual Re-search project.

Materials Science and Engineering (MEng)The University of Manchester� 2015 – 2019 ½ Manchester, UK• 1st (84%) finishing top of the year every year throughout 4 year course• Specialised in nanotechnology (energy storage devices), solid state physics(solar cells and computer transistors) and composite + nanocomposite me-chanics.

Artificial IntelligenceThe University of Stanford in partnership with deeplearning.ai� 2018 – 2019 ½ Online

Neural Networks and Deep Learning (grade: 97.2%), Improving Deep NeuralNetworks: Hyperparameter tuning, Regularization and Optimization (97.6%),Structuring Machine Learning Projects (87.5%)

Secondary SchoolQueen Elizabeth’s Hospital School, Bristol� 2007 – 2014 ½ Bristol, UK• A2 A*A*A• GCSE 8A*s 1A 1B

WORK EXPERIENCEAND VOLUNTEERINGThe Alan Turing Institute + The UK GovernmentHealth Security Agency (UKHSA)40% secondment, evaluating the potentialof bioacoustic analysis for a digital mass testfor COVID-19 � 2021-presentShepherdSpend my summer months herding and milkingsheep, making cheese, topping the fields for hay,helping with sheep care such as vaccination andcarrying out manual labour such as tilling fieldsand assisting with the general up keep of thefamily farm. � 2014-presentClient Support Agent at Hargreaves LansdownDuring my undergraduate university holidays, Iassisted clients, topped up their accounts, placeddeals in shares, funds and ETFs and trained sev-eral new employees. � 2014-2016Volunteered weekly at Southmead Hospital,BristolAssisted cardiac and respiratory patients and,once trained, performed more complex tasksincluding ECGs and feeding patients. � 2012-2014NHS Organ Donation CampaignerOrganised a series of talks (by myself and aTransplant Surgeon) at sixth-forms across Bristol,enabling students to sign up to the NHS OrganDonor Register. � 2012-2014Independent travel to Arizona at age 15Four weeks volunteering at a nature reserve,we were on call to remove venomous snakesfrom private property and return them safelyto the wild. I also assisted undergraduates inthe collection of scientific data, including thecollection of Gila monster venom for medicalapplications. � 2012COMPUTER SCIENCESKILLSPython ○○○○○Pytorch ○○○○○TensorFlow ○○○○○JAX ○○○○○

EXTRA-CURRICULARACTIVITIESI love independent travel and exploring the un-known. Amongst other adventures, one of myfavourite trips was motor biking across the Hi-malayas on a 1940s Royal Enfield motorcycle:Driving over the Khardung La Pass, the world’shighest motorable road. Along with explorationI enjoy playing rugby and football, climbing andwalking with friends and have recently taken upgardening, climbing and spearfishing.

ROLES OF RESPONSIBILITYThe PhD Equality, Diversity and Culture Representative � 2021-presentIn this role I represent all PhD students in the Department of Computing. I actas an Ally, working to ensure that all voices are heard, and campaign for a morediverse future for the department.Teaching Scholar � 2020-presentAlong with my PhD studies I teach undergraduate and postgraduate students,delivering course related topics through lectures, tutorials and workshops, cre-ating and marking course work and tutorial materials and aid the lecturers inmanaging the modules.Year Representative � 2016-2019For my 2nd, 3rd and 4th years at Manchester I was elected year representa-tive. In this role I acted as link between students and supervisors, working toimprove the course and the wider community. In this role I was happy to benominated for The University of Manchester’s “Student Representative of theYear” in 2019.Elected Head Boy at QEH School � 2013-2014Represented all the students, gave regular addresses to the school and thewider community, represented the school and helped organise a range of events.Pack Leader of the 1st XV � 2012-2014This was an opportunity to lead, motivate and be part of a winning team.

PUBLICATIONSCOVID-19 detection from audio: seven grains of saltHarry Coppock, Lyn Jones, Ivan Kiskin, Björn W Schuller� The Lancet Digital Health � 2021End-2-End convolutional neural network enables COVID-19 Detectionfrom Breath & Cough Audio: a pilot studyHarry Coppock, Alexander Gaskell, Panagiotis Tzirakis, Alice Baird, LynJones, Björn W Schuller� BMJ innovations � 2021Detecting COVID-19 from Breathing and Coughing Sounds using DeepNeural NetworksMina Nessiem, Mostafa M. Mohamed, Alexander Gaskell, Harry Cop-pock, Björn W Schuller� IEEE CBMS � 2021 � Best Student PaperEvaluating the COVID-19 Identification ResNet (CIdeR) on the INTER-SPEECH COVID-19 from Audio ChallengesHarry Coppock, Alican Akman, Alexander Gaskell, Panagiotis Tzirakis,Lyn Jones, Björn W Schuller� arXiv � 2021Vector Quantised-Variational Autoencoders (VQ-VAEs) for Represen-tation learningHarry Coppock, Georgios Rizos, Björn W Schuller� Imperial Master’s Thesis � 2020 � Distinguished Project