Jonathan Harrison
Senior AI Research Scientist at Recursion
United Kingdom
Summary
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Senior🎓
Top SchoolJonathan Harrison is a Senior AI Research Scientist with 11 years’ experience applying machine learning to accelerate drug discovery, now at Recursion following Exscientia’s merger. He specializes in uncertainty quantification and Bayesian optimization/active learning for compound selection, and bridges ML with pharmacokinetic–pharmacodynamic (PKPD) modelling to make model predictions more decision-relevant. A DPhil in mathematical modelling from Oxford and a postdoc in quantitative cell biology underpin his habit of combining mechanistic models with Bayesian inference for interpretable science. Jonathan is a core contributor to the open-source Molflux package for molecular predictive modelling, reflecting a commitment to reproducible tools as well as research. Beyond drug discovery he has a track record of translating complex theory into applied software and experimental pipelines, from lattice light-sheet microscopy inference to production ML at scale.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (DPhil.), Developing modelling and inference tools to understand processes in developmental biology, Doctor of Philosophy (DPhil.), Developing modelling and inference tools to understand processes in developmental biology at University of OxfordHampton School
Github Skills (30)
foundation-models8
outlier-detection8
unsupervised-learning8
anomaly-detection8
novelty-detection7
data-mining7
fraud-detection7
matlab7
audio6
snacks6
multimodal6
machine-learning6
time-series6
3d5
deep-learning5
Programming languages (3)
Github contributions (5)
shug3502/shug3502.github.io
Jan 2018 - Feb 2026
Contributions:32 pushes, 1 branch, 1 comment in 8 years 3 months
shug3502/mRNA
Mar 2015 - Nov 2018
Contributions:205 pushes, 2 branches in 3 years 8 months
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