Jean Coquet
Senior Machine Learning Engineer at Uber
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolJean Coquet is a Senior Machine Learning Engineer in the San Francisco Bay Area with 11 years of experience applying advanced ML, NLP, and causal inference to improve healthcare delivery using PROs and EHRs. His work spans academia and industry—from postdoctoral research at Stanford building decision-support prototypes to productionizing LLM-based semantic layers and personalization systems at Verily and Uber. He has led teams and mentored researchers and engineers while architecting end-to-end LLM agent systems that integrate structured and unstructured clinical data and detect fraud from heterogeneous signals. Trained as a bioinformatician with a PhD and postdoc in biomedical informatics, Jean blends deep domain expertise in biological data modeling with practical engineering for real-world clinical deployments. An often-overlooked strength is his track record of turning complex longitudinal and high-dimensional datasets into validated, deployable models and research outputs (grants and publications).
11 years of coding experience
9 years of employment as a software developer
DUT (HND), Computer Science, DUT (HND), Computer Science at Université de Caen NormandieDoctor of Philosophy (Ph.D.), Bioinformatics, Doctor of Philosophy (Ph.D.), Bioinformatics at Université de Rennes ILicence (Bachelor’s degree), Computer Science, Licence (Bachelor’s degree), Computer Science at Nantes UniversitéPostdoctoral fellowship, Biomedical Informatics Research & Data Science, Postdoctoral fellowship, Biomedical Informatics Research & Data Science at Stanford University
French, English
Github Skills (2)
python2
pypi2
Github contributions (5)
JeanCoquet/biopax2cadbiom
Sep 2017 - Oct 2017
Contributions:10 pushes, 2 branches in 28 days
JeanCoquet/TopologicalAnalysisPathways
Jan 2015 - Feb 2015
Contributions:6 pushes in 1 month
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