Kobi Felton
Senior Scientist at Merck
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolKobi Felton is a chemical engineer and machine learning practitioner with nine years of experience applying data-driven methods to accelerate process development and bioprocess scale-up. Currently a Cambridge-Trust Marshall Scholar at the University of Cambridge and a Senior Scientist at Merck, he has delivered measurable impact—from halving time-to-result in reaction development to doubling productivity in enzyme engineering via Bayesian optimization. He co-created Summit, an open-source Python library for benchmarking ML strategies in chemistry, and has built lab automation interfaces that cut experimental burden by over half. Kobi blends hands-on coding and web app development for scientists with practical process insight, having led large internal hackathons and deployed tools adopted by top pharma. Fluent in both chemistry and software, he often bridges teams by translating experimental needs into deployable ML solutions.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.), Chemical Engineering major, Spanish minor, 4.0/4.0, Bachelor of Science (B.S.), Chemical Engineering major, Spanish minor, 4.0/4.0 at North Carolina State UniversityDoctor of Philosophy - PhD, Chemical Engineering, Doctor of Philosophy - PhD, Chemical Engineering at University of Cambridge
Spanish, English
Github Skills (200)
data-science10
omega10
data-mining10
time-series10
forecasting10
keras10
anomaly-detection10
python10
pinterest10
chemistry10
lifecycle10
machine-learning10
reaction10
optimization10
statistics10
Programming languages (11)
Github contributions (5)
sustainable-processes/pura
Jun 2022 - Feb 2023
Clean chemical data quickly
Contributions:12 reviews, 120 commits, 22 PRs in 8 months
chemical-datapythondata-sciencerustchemical
sustainable-processes/summit
Mar 2019 - Dec 2022
Contributions:12 releases, 5 reviews, 351 commits in 3 years 9 months
chemistrypythondrug-discoveryoptimizationchemical
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