Jean-guillaume Brasier
Senior Data Scientist II
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJean-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.
6 years of coding experience
2 years of employment as a software developer
CPGE Mathematics Physics Chemistry, CPGE Mathematics Physics Chemistry at Lycée Sainte-GenevièveCross-Registered Mathematics and Computer Science, Cross-Registered Mathematics and Computer Science at Massachusetts Institute of TechnologyHigh School Mathematics Physics Biology Philosophy., High School Mathematics Physics Biology Philosophy. at French International School of Hong Kong /Lycée Français International de Hong KongMaster of Engineering - MEng Physics, Master of Engineering - MEng Physics at ESPCI Paris - PSLMaster of Science - MS Data Science, Master of Science - MS Data Science at Harvard University
French, English, Chinese
Github Skills (26)
database5
julia5
parameter-estimation5
javascript4
differentiation4
cardano4
wallet4
automatic-differentiation3
blockchain3
simulation3
particle-physics3
particle3
plutus3
issue-tracking3
high-energy-physics2
Programming languages (6)
Github contributions (5)
jgbrasier/karman-vortex-street
Nov 2020 - Apr 2021
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
julia-packageautomatic-differentiationdifferentiationparameterestimation
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