I am a CS Ph.D. student and member of Professor Peter Richtárik’s Optimization and Machine Learning Lab in the CEMSE Division at KAUST.
I got a Master’s degree in CS and Control Systems from Bauman Moscow State University in 2009. After my graduation I worked at a number of companies, most recently as a Senior Developer at Yandex and NVIDIA and a Principal Engineer at HUAWEI.
My current research focus is currently on stochastic math optimization and it’s applications. Broadly area of my interests covers:
- Scientific Software Development
- Huge scale Math Optimization
- Federated Learning
- Computer Graphics and Computer Vision
- Forecasting models from various fields of science and engineering that presents essential core of AI
I attended in Non-Degree Opportunity program as Stanford and obtained two graduate certificates during my education in that place: