Nikolay Savinov
Research at OpenAI
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolNikolay 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
15 years of employment as a software developer
Master of Science (MS), with honors, Applied Mathematics and Physics, Master of Science (MS), with honors, Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at ETH ZürichCompletion certificate, with honors, Computer Science, Completion certificate, with honors, Computer Science at Yandex School of Data Analysis
English, Russian
Github Skills (23)
convolutional-neural-networks10
keras10
point-cloud10
semantic-segmentation9
gymnasium9
3d9
tensorflow9
mnist9
deep-learning9
jax8
gpu8
reinforcement-learning-environments7
reinforcement-learning7
jit7
python7
Programming languages (5)
Github contributions (5)
nsavinov/gym-vizdoom
Apr 2018 - Dec 2018
Gym wrapper for Vizdoom environments
Contributions:12 commits, 14 pushes, 1 branch in 7 months
gymvizdoomiclr2018
nsavinov/SPTM
Feb 2018 - Apr 2019
[ICLR 2018] Tensorflow/Keras code for Semi-parametric Topological Memory for Navigation
Contributions:15 commits, 22 pushes, 1 branch in 1 year 1 month
kerastensorflowdeep-learningmemorynavigation
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