JW Feng
Consultant, Computational Chemistry, Machine Learning
California, United States
Summary
👤
Senior🎓
Top SchoolJW Feng is a computational chemistry and machine learning consultant with ~10 years of applied experience translating ML advances into small-molecule drug discovery pipelines. He combines a rare mix of hands-on software engineering (early career at IBM), deep molecular modeling and experimental biophysics from his PhD at Washington University, and leadership building informatics teams at Denali and Google Accelerated Science. His efforts have enabled multiple drug candidates to enter clinical trials by lowering technical and behavioral barriers to data sharing and analysis across discovery teams. Comfortable moving between algorithm design (e.g., docking and MD-driven hypotheses), lab validation, and production ML systems, he focuses on pragmatic solutions that accelerate translational impact. Based in California, he now runs JW Feng Consulting to help organizations bridge computational science, software, and drug discovery.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Washington University in St. LouisBachelor’s Degree, Computer Science and Biochemistry, Bachelor’s Degree, Computer Science and Biochemistry at The Ohio State University
English, Chinese
Github Skills (21)
python9
rdkit9
cheminformatics9
hpc-cluster8
aws-cloud7
computational-biology6
binding6
aws6
command-line6
docking6
pymol4
diffusion-models4
standardization4
pdb-files4
chemistry3
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 - Jul 2025
Official repository for the Boltz-1 biomolecular interaction model
Contributions:9 pushes in 8 months
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