Bio

I am a postdoctoral researcher at EPFL, working with Prof. Volkan Cevher in LIONS on optimization for machine learning. I received my PhD in Applied Mathematics and Computational Sciences from King Abdullah University of Science and Technology (KAUST) in June 2026, advised by Prof. Peter Richtárik.

My research interests include optimization for machine learning, distributed algorithms, federated learning, privacy and robustness, and deep learning.

During my PhD, I worked as a Research Intern Engineer at Samsung R&D Institute UK from April to October 2024, focusing on optimization theory for large language models.

My hobbies include fitness, martial arts, football, basketball, and drums.

Education

PhD in Applied Mathematics and Computational Sciences
Computer, Electrical and Mathematical Sciences and Engineering Division
King Abdullah University of Science and Technology
Jan. 2022 – Jun. 2026
Thuwal, Saudi Arabia
Thesis: “Theoretical Foundations of Communication-Efficient, Robust, and Practical Distributed and Federated Optimization”
Advisor: Peter Richtárik

MS in Applied Mathematics and Computational Sciences
Computer, Electrical and Mathematical Sciences and Engineering Division
King Abdullah University of Science and Technology
Aug. 2020 – Dec. 2021
Thuwal, Saudi Arabia
GPA: 3.83/4.0
Advisor: Peter Richtárik

BS in Applied Mathematics and Physics
Department of Control and Applied Mathematics
Moscow Institute of Physics and Technology
Sept. 2014 – Jul. 2019
Dolgoprudny, Russia
GPA: 4.73/5.0
Thesis: “Averaged Heavy Ball Method”
Advisor: Boris Polyak