CV
Education
- Ph.D in Physics, Friedrich-Schiller University, Jena, Germany (expected)
- M.S. in Information Science and Technology, Skolkovo Institute of Science and Technology, Moscow, Russia, 2021
- B.S. in Applied Physics and Math, MEPHI, Moscow, Russia, 2019
Work experience
- November 2022 — present : PhD …
- Helmholtz Institute Jena, Germany
- Project: Bayesian optimization of quantum vacuum signals
- Project: Neural network time series forecasting for laser jitter compensation
- June 2022 — October 2022 : Research engineer
- Skoltech, Moscow
- Project: Work on transfer of CPU AutoML library to GPU with RAPIDS: cupy, cudf, daskcudf
- Project: Numerical investigation of laser-plasma physics problems
- January 2022 — April 2022: Internship
- Helmholtz Institute Jena, Germany
- Project: Numerical and analytical optimization of nonlinear Compton scattering source
- Project: R&D in application of neural networks to laser-plasma physics
- August 2021 — October 2021: Research engineer
- Skoltech, Moscow
- Project: numerical optimization of nonlinear Compton scattering source
- Project: R&D for neural networks in physics
- June 2020 — December 2020 : ML developer
- Ashmanov Neural Networks, Moscow
- Project “3D human pose estimation from videos”: R&D
- Project “Keyword Spotting” for bank mobile assistant: R&D, build end-to-end machine learning pipeline
- 2019 - 2021: MSc student
- Skoltech, Moscow
- Project: Create code to simulate nonlinear Compton scattering, investigate several problem settings with it
- Supervisor: Prof. Dr. Sergey Rykovanov
- July 2018 - August 2019: Research Assistant
- Kurchatov Institute, Moscow
- Project: Investigate the interaction of swift heavy ions with solids via Monte-Carlo and molecular dynamics codes
- Supervisor: Dr. Alexander Volkov
Skills
- Classical electrodynamics, quantum field theory, quantum vacuum
- Python
- Science related: numpy, scipy
- ML related: pytorch, tensorflow, scikit-learn, optuna
- High-performance related: cupy, cudf, cuml, numba
- Bayesian related: Ax, PyMC
- Computing on clusters: bash, submitit
- Basics of C
Publications
Talks
Power week on Machine Learning
Workshop at HGS-HIRE, Schmitten, Germany
Neural network time series forecasting for laser Poynting jitter
Talk at Weizmann Institute of Science, Rehovot, Israel
Catastrophe theory analysis of spectrally chirped lasers in nonlinear Compton scattering
Talk at PHEDM-Hirschegg Workshop 2023, Hirschegg, Austria
Catastrophe theory analysis of spectrally chirped lasers in nonlinear Compton scattering
Talk at ICUIL2022, Jeju, South Korea
RAAI Summer school on AI
Summer school at Sirius, Sochi, Russia
Polarization gating in nonlinear Compton scattering
Talk at Kyoto University, Kyoto, Japan
Polarization gating in nonlinear Compton scattering
Poster at The P.N. Lebedev Physical Institute, Moscow, Russia
Teaching
Misc
- Russian ML and Big Data Championship 2022. Track “Linking aerial images to the terrain” (10th place, prizewinner)
- Researcher, RSF 2021 grant “Conducting fundamental scientific research and exploratory scientific research by small individual scientific groups”
- DAAD Young Talents Programme Linie A 2021
- Skoltech Student Award - Best Research 2021
- Skoltech President Scholarship 2021