Jean-guillaume Brasier

Senior Data Scientist II

Boston, Massachusetts, United States
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Summary

👤
Senior
🎓
Top School
Jean-guillaume Brasier is a Senior Data Scientist with seven years of experience applying geometric deep learning, ML, LLMs and optimization to high-impact problems across biotech and pharma. He has driven data strategy and AI solutions at Vertex and Moderna, and conducted research at Harvard Medical School and Inria on TCR–pMHC binding and automatic differentiation for state-space models. Trained at ESPCI Paris and Harvard Data Science, he bridges rigorous physics/math foundations with production-scale ML for chemistry, manufacturing and control. An elite-level triathlete and former sailing instructor, he brings endurance and discipline to long, complex projects and a knack for translating cutting-edge research into practical solutions.
code7 years of coding experience
job2 years of employment as a software developer
bookCPGE Mathematics, Physics, Chemistry, CPGE Mathematics, Physics, Chemistry at Lycée Sainte-Geneviève
bookCross-Registered Mathematics and Computer Science, Cross-Registered Mathematics and Computer Science at Massachusetts Institute of Technology
bookHigh School Mathematics, Physics, Biology, Philosophy., High School Mathematics, Physics, Biology, Philosophy. at French International School of Hong Kong /Lycée Français International de Hong Kong
bookMaster of Engineering - MEng Physics, Master of Engineering - MEng Physics at ESPCI Paris - PSL
bookMaster of Science - MS Data Science, Master of Science - MS Data Science at Harvard University
languagesFrench, English, Chinese
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Github Skills (14)

database6
julia5
cardano5
wallet4
automatic-differentiation4
javascript3
simulation3
blockchain3
event-driven1
pytorch1
anaconda1
xor1
particle-filter1
classifier1

Programming languages (6)

JuliaJavaScriptRoffJupyter NotebookMATLABPython

Github contributions (5)

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Contributions:11 commits, 4 PRs, 9 pushes in 5 months
jgbrasier/KFEstimate.jl

May 2021 - Sep 2021

Julia package for KF and EKF parameter estimation using Automatic Differentiation
Contributions:3 releases, 1 review, 86 commits in 3 months
automatic-differentiationjulia
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