Summary
Nikolay Savinov is a Research Scientist at Google DeepMind with over a decade of experience in deep learning, generative models and reinforcement learning, blending rigorous academic training (PhD, ETH Zürich) with industrial research. He has a strong foundation in applied mathematics from MIPT and high-achieving credentials from Yandex School of Data Analysis, and has contributed to ML and CV projects during internships and roles at Google Brain, Intel, and Yandex. At DeepMind he focuses on large language model pre-training and generative systems under the supervision of Aäron van den Oord, bringing both theoretical depth and practical engineering to production-scale ML research. Known for crossing boundaries between vision, RL and language, he combines a researcher’s curiosity with a software developer’s pragmatism—often surfacing insights that improve model training efficiency and generalization.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS), with honors, Applied Mathematics and Physics, GPA 4.95 out of 5.0, Bachelor of Science (BS), with honors, Applied Mathematics and Physics, GPA 4.95 out of 5.0 at Moscow Institute of Physics and Technology (State University) (MIPT)
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at ETH Zürich
Completion certificate, with honors, Computer Science, GPA 5.0 out of 5.0, Completion certificate, with honors, Computer Science, GPA 5.0 out of 5.0 at Yandex School of Data Analysis
English, Russian