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Elvis Dohmatob is an Associate Professor in the Department of Computer Science at Concordia University. He specializes in artificial intelligence (AI) and machine learning (ML), with a strong focus on theoretical aspects. He joined Concordia in 2024 and is an affiliate faculty member at the Mila Institute. Prior to his role at Concordia, he held research positions at renowned institutions such as INRIA, Criteo, and FAIR/Meta in Paris, France. His current research agenda encompasses several themes, including Learning Theory—covering topics such as neural scaling laws and model robustness—and Representation Learning. He also focuses extensively on Trustworthy AI/ML, addressing issues related to algorithmic bias and adversarial examples. Throughout his career, Dohmatob has contributed to significant advancements in optimization methodologies and is engaged in ongoing research exploring these critical areas within AI.
Administered by the Mel Hoppenheim School of Cinema; focuses on cinematic arts practice and research-creation.