Nikita Kazeev
Research Fellow at National University of Singapore
Singapore, Singapore
Summary
👤
Senior🎓
Top SchoolNikita Kazeev is a research fellow and machine learning scientist with 14 years of experience applying generative models and multiscale ML to physics and materials discovery. Based at Kostya Novoselov’s Institute for Functional Intelligent Materials in Singapore, he co-leads AI Singapore work on multiscale learning and has produced models that substantially reduce energy prediction error and compute cost for 2D material defects while delivering state-of-the-art stability in symmetry‑conditioned material generation. His background includes developing high-speed, high-fidelity generative simulators at CERN (part of the LHCb effort honored with a Breakthrough Prize) and shipping ML models into production at scale, including a CatBoost C++ integration for CERN software. He also organizes community venues—lead organizer for the ICLR 2025 multiscale ML workshop and science committee member for AI4X 2025—bridging research, review, and outreach. Beyond publications, he contributes practical teaching resources and implementations (e.g., hands-on deep learning course materials) that reflect a strong commitment to translating advanced methods into usable tools.
14 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Higher School of EconomicsMSc equivalent, Computer science, MSc equivalent, Computer science at Yandex School of Data AnalysisBachelor's degree, Physics, Bachelor's degree, Physics at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Sapienza Università di RomaMaster's degree, Physics, Master's degree, Physics at Moscow Institute of Physics and Technology (State University) (MIPT)Lyceum "Physical-Technical High School" (PTHS)
Русский, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
deeplearning-ai10
deep-learning10
tensorflow10
python10
numpy10
machine-learning9
Programming languages (6)
Github contributions (5)
hse-aml/intro-to-dl
Oct 2017 - Dec 2017
Resources for "Introduction to Deep Learning" course.
Role in this project:
ML Engineer
ML EngineerContributions:8 commits, 5 pushes in 1 month
Contributions summary:Nikita primarily contributes to the development and refinement of deep learning models within the "Introduction to Deep Learning" course repository. Their contributions involve implementing and modifying core components of neural networks, including ReLU layers, dense layers, and loss functions. Furthermore, the user integrates and utilizes libraries like TensorFlow, and incorporates techniques such as tensorboard for model analysis and visualization, alongside fixing language and formula. These changes suggest a focus on practical application and enhancement of deep learning concepts presented in the course.
deep-learningpythonmachine-learning
kazeevn/Canecycle-of-Caerbannog
Mar 2015 - May 2015
Contributions:116 commits, 2 PRs, 84 pushes in 1 month
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