Summary
Nadya Chernyavskaya is a Manager of AI & Quant Development with a decade of experience translating advanced physics research into production-grade ML products for energy and trading. With a PhD from ETH Zürich and a track record at CERN, she led ultra-fast, low-latency ML projects (including FPGA-optimized models) and shipped deep learning solutions that materially improved detector performance. At TotalEnergies she built and scaled auto-ML forecasting libraries, drove product releases aligned with trading needs, and ran company-wide ML seminars to democratize expertise. Her background spans hands-on R&D, team leadership, and production engineering—bridging scientific rigor with engineering discipline. She has a history of publishing and presenting in high-impact venues and quietly elevated reproducibility by integrating automated documentation into CI/CD pipelines. Based in Geneva, she combines domain depth in energy markets and particle physics with a practical focus on operationalizing ML at scale.
10 years of coding experience
9 years of employment as a software developer
High School Diploma, Mathematics and Physics, High Honors, High School Diploma, Mathematics and Physics, High Honors at Advanced School of Physics and Technology
Advanced Computer Science School
Bachelor’s Degree, Applied Mathematics and Physics, Diploma with high honors : 4.93/5.00, Bachelor’s Degree, Applied Mathematics and Physics, Diploma with high honors : 4.93/5.00 at Moscow Institute of Physics and Technology (State University) (MIPT)
Master’s Degree, High Energy Physics, 5.64/6., Master’s Degree, High Energy Physics, 5.64/6. at Ecole polytechnique
High School Diploma, High School Diploma at The Advanced Educational Scientific Center – Kolmogorov’s boarding school of Moscow State University
Doctor of Philosophy (Ph.D.), Physics, Physics, Doctor of Philosophy (Ph.D.), Physics, Physics at ETH Zürich
English, German, French, Russian, Italian