Konstantin Burlachenko is a fourth-year Computer Science Ph.D. candidate and a member of Professor Peter Richtárik’s Optimization and Machine Learning Lab which is a part of the KAUST AI Initiative at King Abdullah University of Science and Technology (KAUST) led by Jürgen Schmidhuber.

He obtained an M.S. degree in Computer Science and Control Systems from the Bauman Moscow State University in 2009. After his graduation, he worked as a Senior Engineer for Acronis,Yandex,NVIDIA, and as a Principal Engineer for HUAWEI.

Konstantin attended in Non-Degree Opportunity program at Stanford between 2015 and 2019 and obtained two graduate certificates:

His current research focus is on various aspects of Distributed Stochastic Optimization and Federated Learning.


The venues that accepted Konstantin’s works include:

  • International Conference on Machine Learning (ICML)
  • International Conference on Learning Representations (ICLR)
  • Transactions on Machine Learning Research (TMLR)
  • SIAM Journal on Mathematics of Data Science (SIAM SIMODS)
  • ACM International Workshop on Distributed Machine Learning (ACM CoNext)


  • Dean’s Award, KAUST, 2020
  • Grant from Saudi Authority for Data and Artificial Intelligence, 2022
  • AMD Radeon Instinct MI50 from AMD Inc., 2022
  • Dean’s List Award 2023, KAUST

One of his sports achievements is the title of candidate Master of Sport in Chess which is assigned by the International Chess Federation FIDE.

Extra Areas of Interests

Scientific Software Development, GPGPU, Compute Performance Optimization, ML/AI Solvers, Computer Graphics, Computer Vision, Physics-Based Simulation.