Rustem Islamov

Looking for autumn/winter internship positions

Rustem Islamov

About me

I am a third year PhD student at University of Basel working under the supervision of Aurelien Lucchi. Prior to that, I obtained my Master diploma from Institut Polytechnique de Paris in Data Science and Bachelor diploma from Moscow Institute of Physics and Technology in Applied Mathematics. I am interested in Optimization and its applications to Machine Learning.

On top of that, I am a big fan of tennis and judo.

Education

PhD in Computer Science
UniBas, Department of Mathematics and Computer Science
Oct. 2023 – Present · Basel, Switzerland
Supervisor: Aurelien Lucchi
Master of Science in Data Science
IP Paris, Department of Applied Mathematics
Sept. 2021 – Aug. 2023 · GPA 17.65/20 · Palaiseau, France
Thesis: Unified Analysis of Asynchronous Algorithms
Thesis Supervisor: Mher Safaryan, Dan Alistarh
Bachelor of Science in Applied Mathematics and Physics
MIPT, Phystech School of Applied Mathematics and Informatics
Sept. 2017 – Jul. 2021 · GPA 4.95/5 (9.27/10) · Dolgoprudny, Russia
Thesis: Distributed Second Order Methods with Fast Rates and Compressed Communication
Thesis Supervisor: Peter Richtárik

Interests

  • Optimization
    • Optimization Theory
    • Computation/Memory-efficient and Scalable Algorithms
    • Convex/Non-convex Stochastic Optimization
  • Machine Learning
    • Loss Landscape of Neural Networks
  • Federated learning
    • Communication-efficient and Scalable Algorithms

Selected Publications

My contributions have appeared in leading machine learning venues including NeurIPS, ICML, ICLR, and AISTATS. Here is the list of papers I am most proud of:

Recent news

  • August 23, 2026I am attending Swiss Optimization Symposium in Monte Verità. My talk focuses on recent works that use convergence bounds to improve deep learning models training. The slides can be found via the link.
  • August 21, 2026I attended UAI 2026 in Amsterdam. I presented my work on Byzantine-robust and differentially private optimization.
  • June 29, 2026I am attending ICML 2026 in Seoul. I present four papers during poster sessions on 9th and 10th of July. Moreover, I give an oral presentation on 9th of July on Non-Euclidean Edge of Stability. Finally, I was also invited to give a lighting talk at Protocal Learning workshop.
  • June 6, 2026I attended SIOPT 2026. I organized a session on recent advances in federated optimization and gave a presentation on Safe-EF method.
  • June 1, 2026One paper got accepted to UAI 2026 in Amsterdam.