Chris Zhang
Data Scientist
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolChris Zhang is a data scientist and final-year PhD candidate in computational chemistry at UC Irvine who develops machine learning and statistical methods to accelerate drug discovery and identify therapeutic targets. With 11 years of experience spanning academic research and industry, he has built classifiers that boost hit enrichment tenfold for DNA-encoded libraries and analyzed 250K molecular simulation frames to characterize protein conformations. He combines production data skills at Meta with domain expertise from internships at Janssen and research roles at Harvard, applying Python, TensorFlow, RDKit, and scalable data workflows to problems ranging from billion-molecule searches to product health monitoring. Based in San Francisco, he brings a rare mix of deep molecular modeling knowledge and practical ML engineering, and has repeatedly translated complex computational pipelines into actionable screening strategies.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA Chemistry, Bachelor of Arts - BA Chemistry at Harvard UniversityHigh School, High School at West Lafayette Jr/Sr High SchoolUniversity of California, Irvine
Github Skills (29)
sampling9
bayesian8
statistical-inference8
beast8
bayesian-statistics7
probabilistic-graphical-models7
probabilistic-models7
bayesian-methods7
bayesian-inference6
mcmc6
inference5
machine-learning5
chrome4
ssl3
cosmology3
Programming languages (3)
Github contributions (5)
zcrabbit/zcrabbit.github.io
Oct 2018 - Nov 2022
Contributions:252 commits, 322 pushes, 1 branch in 4 years 1 month
zcrabbit/PhyloInfer
Feb 2017 - Dec 2019
Developing efficient Bayesian phylogenetic inference methods
Contributions:28 commits, 3 PRs, 22 pushes in 2 years 10 months
developingbayesian-inferenceinferencestatistical-inferencemachine-learning
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