Eugene Belilovsky bio photo

Eugene Belilovsky

Researcher in Machine Learning

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Students

I lead a research group exploring modern, scalable learning systems. We focus on communication-efficient pre-training, robustness to distribution shifts, and learning better optimizers.

  • Communication-efficient pre-training (model & data parallelism, privacy, federated heterogeneity)
  • Distribution shifts (continual learning, domain adaptation)
  • Learned optimizers

PhD Students

MSc Students

  • Paria Mehrbod (co-supervised with Guy Wolf)
  • Zafir Khalid
  • Xialong Huang

Postdoc

Frequent Collaborators

  • Lucas Caccia (McGill)
  • Rahaf Aljundi (Toyota Research)
  • Boris Knyazev (Samsung Research)
  • Guy Wolf (UdeM/Mila)
  • Irina Rish (UdeM/Mila)
  • Guillaume Lajoie (UdeM/Mila)
  • Michael Eickenberg (Flatiron Institute)
  • Edouard Oyallon (CNRS)
  • Tiberiu Popa (Concordia)
  • Aaron Courville (UdeM/Mila)

Alumni

  • Congshu Zou — MSc 2025
  • Humza Wajid Hameed — MSc 2025
  • Nicolas Bernier — MSc 2025 (Now ML at Amazon)
  • Charles-Etienne Joseph — MSc 2024 (Now Research engineer at Capital One)
  • Alexander Fulleringer — MSc 2024
  • Nader Asadi — MSc 2023 (Now ML Researcher at Huawei)
  • Nasir Khalid — MSc 2023 (Now ML Researcher at Haven Studios)
  • Amir Sarfi — MSc 2023 (Now Researcher at Slyod)
  • Adeetya Patel — MSc 2023 (Now RA at McGill University)
  • Medric Sonwa — MSc 2023 (Now Data Scientist at ONMO)
  • Muawiz Chaudhary — MSc 2023
  • Gwen Legate — MSc 2023 (continued to PhD)
  • Irene Tenison — MSc 2022 (Now PhD student at MIT)
  • Benjamin Therien — NSERC Undergrad Researcher 2021 (Now MSc at University of Waterloo)
  • Yu Xiang Zhang — NSERC Undergrad Researcher 2022 (Now Software Engineer at Amazon)
  • Boris Knyazev — PhD Intern (Now Research Scientist at Samsung Research)

Sponsors

Our group is generously supported by: