Harrison Wilde
Data Scientist
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolHarrison Wilde is a data scientist with seven years' experience applying Bayesian machine learning and computational modelling to high-stakes health, privacy and policy problems. Based in London, he bridges academic research and applied impact through roles at Nesta, UCL and NHS England, and has contributed to national COVID-19 and cardiovascular data initiatives. His work emphasizes principled uncertainty propagation and private, equitable ML to inform crisis response and policy decisions at scale. He has industrial research experience from Twitter and Pumas-AI, and trains the next generation of data scientists through teaching and co-organising DSSGx programmes. Notably, he pairs theoretical strengths from a PhD in Statistics with practical deployment in health systems, making complex probabilistic methods usable in real-world decision pipelines.
7 years of coding experience
5 years of employment as a software developer
PhD, Statistics, PhD, Statistics at University of WarwickA-Levels, A-Levels at AKS Sixth Form
Stackoverflow
197reputation
6kreached
0answers
11questions
Github Skills (200)
probabilistic-programming10
python10
data-manipulation10
firefox-addon10
mcmc10
branding10
bayesian-methods10
webextension10
bayesian-inference10
sublime-text10
dataframes10
pandas10
music10
artificial-intelligence10
data-science10
Programming languages (14)
Github contributions (5)
nhsengland/NHSSynth
Mar 2023 - Oct 2024
Package to accompany P41
Contributions:19 releases, 74 PRs, 216 pushes in 1 year 6 months
nhspytorchsyntheticvariational-autoencoder
TuringLang/MCMCTempering.jl
Mar 2021 - Nov 2022
Contributions:39 reviews, 79 commits, 66 PRs in 1 year 8 months
implementationssamplersjulia-languageparallelturing-language
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