JW Feng
Consultant, Computational Chemistry, Machine Learning
California, United States
Summary
👤
Senior🎓
Top SchoolJW Feng is a seasoned computational chemist and ML-driven drug discovery leader based in California, with a decade of experience delivering data-driven solutions across biotech and pharma programs. He currently consults through JW Feng Consulting LLC, shaping ML and cheminformatics strategy for early-stage startups and building computational science teams. At Google, as a Staff Research Scientist and Group Leader, he architected ML-centered drug discovery roadmaps and led collaborations to prospectively validate deep learning models. Previously at Denali Therapeutics, he built and led molecular modeling and informatics platforms that enabled multiple programs to advance into clinical trials while guiding ML models for potency and ADME prediction. Earlier still, he developed a systematic ligand docking approach (Skate) at Washington University and led Genentech's structure-based design initiatives to accelerate hit-to-lead campaigns. He earned a PhD in Computational Biology from WashU and BS degrees in Computer Science and Biochemistry from Ohio State, pairing rigorous academic training with hands-on translational impact.
10 years of coding experience
13 years of employment as a software developer
Washington University in St. Louis
English, Chinese
Github Skills (27)
rdkit10
cheminformatics10
python9
c-plus-plus9
hpc-applications9
computational-biology8
molecule8
parallel-computing7
aws7
chemistry7
binding6
hpc6
aws-cloud6
pdb-files5
docking5
Programming languages (4)
Github contributions (5)
jw-feng/practical_cheminformatics_tutorials
Aug 2023 - Jan 2025
Practical Cheminformatics Tutorials
Contributions:4 pushes in 1 year 4 months
jw-feng/boltz
Nov 2024 - Jan 2025
Official repository for the Boltz-1 biomolecular interaction model
Contributions:8 pushes in 1 month
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