Harry T. Mason
Senior Research Associate in Medical Statistics and Health Data Science at University Of Bristol
Based in York, United Kingdom
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Seniority
Staff
Department
Science
Location
York
Industry
Higher Education
Company size
13K
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h•••••••@bristol.ac.uk
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Background
About Harry T. Mason
Post Docs** 2024-2026 Bristol Medical School, University of Bristol (supervisors: Rachel Denholm, Venexia Walker) My main work: Analysing the long-term impact of COVID on diagnosis rates of neurodegenerative diseases, AI bias in healthcare 2021-2023 Engineering/Psychology Departments, University of York (supervisors: Stephen Smith, Elena Geangu, and Marina Knight) Program: FIRST LEAP, investigating executive function in the first days of life. My main work: Analysing large quantities of noisy Infant ECG, developing novel processing/signal quality algorithms.**Additional Work**(2020-) Exergames project: Developing new adherence techniques to accurately describe data exergame physiotherapy data.(2020-2021) Honorary Researcher, University of Oxford (2023-) Honorary Researcher, University of York **D.Phil**(2015-2020) Thesis Exploring subspace-constrained approaches to low-rank fMRI acceleration (supervisors: Karla Miller, Mark Chiew) Group: Physics Group, FMRIB/WIN Centre, Nuffield Department of Clinical Neuroscience, University of Oxford Program: Oxford-Nottingham Biomedical Imaging Doctoral Training Centre **Undergrad**(2011-2015) MEng in Engineering Science also at the University of Oxford Dissertation: Quantitative analysis of ultrahigh field chemical exchange saturation transfer (CEST) MRI data (supervisor: Michael Chappell) Specialisms: Biomedical & Information Engineering **Summer Internships** 2013 & 2014: Clinical Health Informatics group at Oxford (supervisors: David Clifton & David Wong) My main work: Development of the SEND project (an app still used in Oxford Hospitals); investigate hypotension during dialysis. 2015: The National Science Learning Centre (supervisor: Gemma Taylor) My main work: Helping translate scientific ideas into education and teaching, especially 3D printing **Focuses** Main: Optimization, Bayesian inference, and linear algebra applied to solving clinical problems Secondary: fMRI, ECG, software engineering, machine learning Coding: Strong in MATLAB and Python; Competent in bash and R; Experience in SQL, ehrQL, and C++**Additional** I have a passion for outreach and charity, working with Oxfam, Living Wage campaigns, Oxford City Council, Oxford Mutual Aid, Mansfield College access, and other organisations I regularly write and perform poetry I have played and coached Ultimate (Frisbee) at international levels; and also have experience covering Ultimate through commentating and article writing/editing
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