Research interests
- Shear flows
- Transition to turbulence
- Pattern formation
- Time series forecasting
- Predictability analysis
- Approximate computing
Education
University of Leeds
Ph.D. in Applied Mathematics
Imperial College London
M.Sc. in Advanced Computational Methods, Distinction
Bauman Moscow State Technical University
Specialist Degree, Diploma with honours
Experience
Huawei Technologies Co., Ltd., Saint Petersburg Software Technology Innovation Lab
Senior Researcher / Team Lead
Time series analysis and causality analysis in the context of telecom networks:
- Large-scale traffic forecasting for thousands of network elements (both long-term and short-term forecasting)
- Adaptive sampling of time series data collected from network elements
- Predictability analysis for non-stationary time series and discrete events (alarms)
University of Oxford, Department of Physics
Postdoctoral Research Assistant
This is the work within the project ITHACA «An Information Theoretic Approach to Improving the Reliability of Weather and Climate Simulations» led by Prof. Tim Palmer. It was aimed at improving the computational efficiency of a large-scale meteorological model (IFS by ECMWF):
- Computing radiative transfer with reduced numerical precision
- Accelerating MPI communications by reducing numerical precision
- Developing debug tools to ease the search for numerical instabilities and errors while working with low-precision arithmetics
Scientific Technical Centre «ELINS»
C++ Developer
Development of an application for telemetry processing based on Qt.
B&R Industrial Automation
C Developer
Development of industrial control systems.
AST Group
C/C++ Developer
Development of a security-aimed platform written on C.
Bauman Moscow State Technical University
C++/Python Developer
Development of a distributed CAE system written on C++ and Python.
Math Stack
Dynamical systems theory
- Finite-amplitude instabilities
- Stability analysis
- Chaos theory
- Bifurcation theory
Numerical analysis
- Low-precision arithmetics
- ODE/PDE solvers
- Approximation theory
Statistics
- Time series analysis
- Bayesian inference
- Additive models
Machine learning
- Echo state networks
- Decision trees / random forest
- PCA / autoencoders
Technical Stack
Python
- numpy
- scipy
- matplotlib
- pandas
- django
DS/ML libraries
- scikit-learn
- statsmodels
- torch
Web
- HTML
- CSS/Bootstrap
- JavaScript/Vue.js
- Plotly
- Django
- Wagtail
Software development
- Linux/Windows/cross-platform
- git/gitlab/SVN
- VSCode
Other
- C/C++11/14/17
- SQL
- Latex