Biography
Grigory Malinovsky is a Ph.D. candidate in Applied Mathematics and Computational Science at King Abdullah University of Science and Technology (KAUST), studying under the supervision of Professor Peter Richtárik in the Optimization and Machine Learning Lab.
Grigory holds a Master of Science in Applied Mathematics and Computational Science from KAUST and a Bachelor's degree in Applied Mathematics and Physics from the Moscow Institute of Physics and Technology, where he completed his thesis under the guidance of Boris Polyak.
During his Ph.D., he completed a six-month internship at Samsung R&D Institute UK, and collaborated during research visits with Sebastian Stich at CISPA, as well as with Samuel Horváth and Eduard Gorbunov at MBZUAI. His work has been published in leading machine learning conferences such as NeurIPS, ICLR, ICML, AISTATS, AAAI, and UAI. Alongside his research, he has contributed to teaching graduate-level optimization courses and actively mentored research interns, leading to multiple joint publications.
Research Interests
Grigory's research focuses on optimization and its applications in machine learning, particularly federated learning, distributed optimization, and deep learning theory.
Education
- Bachelor of Science (B.S.)
- Applied Mathematics and Physics, Moscow Institute of Physics and Technology (MIPT), Russian Federation, 2019
