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)
autoencoder9
outlier-detection8
unsupervised-learning8
outliers8
anomaly-detection7
novelty-detection7
matlab7
microscopy7
snacks6
data-mining6
python6
data-analysis5
deep-learning5
fraud-detection5
machine-learning5
Programming languages (3)
Github contributions (5)
shug3502/mRNA
Mar 2015 - Nov 2018
Contributions:205 pushes, 2 branches in 3 years 8 months
cmcb-warwick/KiT
Nov 2020 - Dec 2021
KiT is a MATLAB program for tracking kinetochores in microscopy movies in 2D or 3D, and in multiple channels.
Contributions:7 commits, 3 PRs in 1 year
moviesmatlabtrackingchannelsmicroscopy
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