Julian Cooper
Senior ML Engineer at Amber Electric
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolJulian Cooper is a Senior ML Engineer with eight years of experience applying Bayesian inference, PDE-based modeling, and optimization to industrial and energy systems. He combines a rigorous academic foundation—MSc in Computational and Applied Mathematics at Stanford and a BSc in Mathematics from Duke—with hands-on experience at BCG Gamma/X and Amber Electric building forecasting and calibration pipelines for data-scarce physical systems. His work spans production ML, numerical solvers for battery models, and research in automated theorem proving (GNN-ASTactic), reflecting a rare blend of applied engineering and theoretical depth. Comfortable leading teams and shipping client-facing optimisation solutions, he has moved between consulting, lab research, and product roles across Australia, the US and Europe. Notably, his background in philosophy and number theory informs a methodical approach to model interpretability and proof-driven model design.
8 years of coding experience
8 years of employment as a software developer
BSc Mathematics Major French Minor Certificate in Politics Philosophy and Economics, BSc Mathematics Major French Minor Certificate in Politics Philosophy and Economics at Duke UniversityIB diploma Mathematics Physics Chemistry Economics English French Theory of Knowledge, IB diploma Mathematics Physics Chemistry Economics English French Theory of Knowledge at SCECGS RedlandsMaster of Science - MS Computational and Applied Mathematics, Master of Science - MS Computational and Applied Mathematics at Stanford University
French, English
Github Skills (75)
anomaly-detection10
prediction10
regression-models10
espn10
data-mining10
forecasting10
econometrics9
statistics9
ai9
statsmodels9
nlp9
python9
machine-learning9
time-series9
packaging9
Programming languages (6)
Github contributions (5)
2elle2/rmi-project
Apr 2022 - Jun 2022
Contributions:2 releases, 40 commits, 4 PRs in 1 month
jelc53/whats-new-nextjs
Sep 2023 - Feb 2025
[NextJS 13 + Vercel] Wiki for synopses of significant academic publications in the fields of optimisation, bayesian statistics, machine learning, deep learning, and cryptography
Contributions:1 release, 10 PRs, 79 pushes in 1 year 5 months
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