Summary
Grigory Bordyugov is an ML Team Lead in Berlin with 11 years of experience bridging academic research and production machine learning across advertising, fashion, and quant-investing domains. He combines a PhD-level background in theoretical and mathematical physics with hands-on expertise in experimental data analysis, mathematical modeling, and building ML-backed products at companies like Criteo, Ultramarin, and Zalando. Known for turning nuanced experimental observations into robust statistical and Bayesian analyses, he has led interdisciplinary research projects and taught statistics and A/B testing to practitioners. His career blends deep numerical simulation skills (Python/C/R/Matlab) with product-facing ML engineering, making him adept at taking models from theory to scalable deployment. A subtle strength is his track record of managing international teams and translating complex lab experiments into actionable computational models.
10 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Theoretical and Mathematical Physics, Summa cum laude / With highest distinction, Doctor of Philosophy (Ph.D.), Theoretical and Mathematical Physics, Summa cum laude / With highest distinction at Technical University of Berlin
Master’s Degree, Physics, Master’s Degree, Physics at Saratov State University named after N.G.Chernyshevsky
High School, High School at FTL 1
English, German, Russian