John Bradshaw

California, United States
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Summary

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Rockstar
John Bradshaw is a machine learning scientist with a decade of experience applying computational methods to chemistry and biology for drug discovery, currently on the Prescient Design team at Genentech. He combines deep academic training—a PhD from the University of Cambridge, a postdoc at MIT, and a research placement at the Max Planck Institute—with practical ML model development aimed at accelerating therapeutic design. Comfortable bridging theory and practice, he develops tailored algorithms that address domain-specific challenges in molecular data and biochemical prediction. Based in California, he brings both rigorous research instincts and industry-oriented delivery to high-impact projects in biotech.
code10 years of coding experience
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Github Skills (39)

bayesian-statistics10
manifold10
information-theory10
stochastic-processes10
gpflow10
gaussian10
variational-inference9
python9
gaussian-processes9
tsne9
arxiv9
convolution9
numba8
finite-element-analysis8
scientific-computing8

Programming languages (1)

Python

Github contributions (5)

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john-bradshaw/john-bradshaw

Feb 2017 - Feb 2025

Contributions:9 pushes, 1 branch in 8 years 1 month
john-bradshaw/synthesis-dags

Oct 2020 - Jun 2022

Code for our paper "Barking up the right tree: an approach to search over molecule synthesis DAGs"
Contributions:6 commits, 2 PRs, 5 pushes in 1 year 7 months
cheminformaticsrnaseqdrug-discoveryapproachsynthesis
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John Bradshaw