⛵️Researcher
About Me
I am a researcher working on optimization methods, machine learning, and various applications. The main focus of the research is implementable second-order, higher-order, and Quasi-Newton methods for convex and non-convex optimization. Also, I am interested in adaptive stochastic methods, distributed optimization, federated learning, and various applications.
Currently, I am on the job market. I am looking for an assistant professor, researcher and postdoc positions. Also, I am interested in some research visits and collaboration.
My last position was a Research Associate at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). I was working at the Optimization and Machine Learning Lab (OptML Lab) under the supervision of Prof. Martin Takáč.
- Convex Optimization
- Non-Convex Optimization
- Second/High-order Methods
- Quasi-Newton Methods
- Adaptive Optimization Methods
- Machine Learning
- Stochastic Optimization
- Distributed Optimization
- Federated Learning
- Min-Max Optimization
- Causal Theory
- Zero-order Methods
Ph.D. in Mathematical Modelling, Numerical Methods and Program Complexes
Moscow Institute of Physics and Technology (MIPT), Moscow, Russia.
Master of Science in Operations Research, Combinatorics and Optimization (ORCO)
University of Grenoble Alpes (UGA), Grenoble, France.
Master of Applied Mathematics and Physics
Moscow Institute of Physics and Technology (MIPT), Moscow, Russia.
Bachelor of Applied Mathematics and Physics
Moscow Institute of Physics and Technology (MIPT), Moscow, Russia.
