Curriculum vitae
Education
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2021 - 2026 PhD in Mathematics
Massachusetts Institute of Technology -
2019 - 2021 MSc in Mathematical and Theoretical Physics
Skolkovo Institute of Science and Technology - Dual degree program with Higher School of Economics.
- Concentration on applications in physics and mathematics.
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2019 - 2021 MSc in Mathematics
Higher School of Economics, Moscow, Russia -
2015 - 2019 BSc in Mathematics
Higher School of Economics, Moscow, Russia -
2017 - 2019 Professional Retraining Diploma in Computer Science
Yandex School of Data Analysis, Moscow, Russia - Specialized training in machine learning, deep learning, and computer vision.
- Intensive two-year program emphasizing hands-on coding and data analysis.
Experience
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2018 - 2021 Research Assistant
International Laboratory of Stochastic Algorithms and High-Dimensional Inference, HSE, Moscow, Russia - Conducted research in optimal transport and machine learning.
- Developed algorithms for high-dimensional inference and numerical simulations.
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2019 Trainee Researcher
Huawei Moscow Research Center, Moscow, Russia - Fine-tuned face recognition models for smartphones, adapting them to the European market.
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2018 Trainee Developer
Yandex, Moscow, Russia - Built Python backend to streamline interactions between marketing APIs.
- Contributed to the backend development of marketing service applications.
Publications
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2023 Sorting with Teams
- Accepted by Journal of Political Economy
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2022 The multistochastic Monge–Kantorovich problem
- Journal of Mathematical Analysis and Applications
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2020 An Explicit Solution for a Multimarginal Mass Transportation Problem
- SIAM Journal on Mathematical Analysis
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2019 On multistochastic Monge-Kantorovich problem, bitwise operations, and fractals
- Calculus of Variations and Partial Differential Equations
Preprints
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2022 Bunching and Taxing Multidimensional Skills
- Revision requested by Econometrica
Skills
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Programming Languages
- C++ (Advanced courses at Yandex School of Data Analysis)
- Python (Advanced courses at Yandex School of Data Analysis)
- Julia
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Numerical Methods
- Linear programming
- Numerical methods for PDEs and IEs
- Computer algebra
- Optimization algorithms
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Machine Learning
- Deep learning (PyTorch, TensorFlow)
- Reinforcement learning
- Bayesian methods
- Large Language Models
- Computer Vision
Honors and Awards
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Mathematical Competitions
- Gold Medal, China National Olympiad, 2013
- Gold Medal, Romanian Masters in Mathematics, 2015
- Silver Medal, International Mathematical Olympiad, 2015
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Programming Contests
- Participation in ACM ICPC World Finals, HSE Bluebell Team, 2018
Academic Interests
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Optimal Transport
- Multimarginal transport problems
- Computational methods for optimal transport
- Applications of optimal transport in economics and CS
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Machine Learning
- Theoretical foundations and development of ML methods
- Numerical experiments with transformers and LLMs