Omar Montasser

Postdoctoral Researcher,
Toyota Technological Institute at Chicago
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Omar Montasser is a PhD student at TTI-Chicago advised by Nathan Srebro. His main research interest is the theory of machine learning. Recently, his research focused on understanding and characterizing adversarially robust learning, and designing algorithms with provable robustness guarantees under different settings. His work has been recognized by a best student paper award at COLT.

Program Visits

Summer Cluster: Deep Learning Theory, Summer 2022, Visiting Graduate Student
Foundations of Deep Learning, Summer 2019, Visiting Graduate Student