Curriculum Vitae
Download PDF ↗2023 – present
PhD in Computer Science
Massachusetts Institute of Technology
Research on mathematical theory of transformers. Advisor: Prof. Yury Polyanskiy.
2023 – present
MIT LIDS, Research Assistant
Research project on mathematical theory of transformers.
Jun 2025 – Aug 2025
Google, Student Researcher
Research project on error detection in LLM reasoning.
Dec 2022 – Jul 2023
Huawei Technologies, R&D, Senior Engineer
Designed and implemented experiments using OpenFL framework for Federated Learning research.
Jun 2021 – Aug 2023
EIMI, Researcher
Research project on product quantization.
Apr 2022 – Aug 2022
Pinely (HFT firm), R&D, Data Scientist
Analyzed market data using ML techniques. Explored cross-exchange arbitrage strategies.
2017 – 2023
BSc & MSc in Mathematics
Saint Petersburg State University
Foundation in analysis, algebra, topology, and probability theory.
2019 – 2022
Data Science Program
Computer Science Center
Machine Learning, Deep Learning, NLP, Reinforcement Learning, Inference & Information, Statistics.
2020
International Mathematics Competition — Grand First Prize
Top 1.5% among all participants.
2016
International Mathematical Olympiad — Silver Medal
Top 19% among all participants.
2016
Russian Mathematical Olympiad — Gold Medal
Top 4% among all participants.
Areas & Tools
Mathematics
Probability theory, measure theory, functional analysis, optimization, statistics
AI / ML Theory
Transformers, attention dynamics, NLP, deep learning, federated learning, information theory
Tools
Python, PyTorch, NumPy, Pandas, Matplotlib, LaTeX, Git
Publications
- Normalization in Attention Dynamics
- Clustering in Causal Attention Masking
- A limit theorem for the last exit time over a moving nonlinear boundary for a Gaussian process
- On the distribution of the last exit time over a slowly growing linear boundary for a Gaussian process