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: