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Adam Oberman is a Professor at McGill University specializing in Machine Learning and AI Research, with a strong focus on Applied Mathematics. He completed his PhD at the University of Chicago. His academic career includes significant appointments, such as Full Professor at McGill since 2017 and Faculty at Simon Fraser University from 2004 to 2012. He was also a Postdoctoral Fellow at the University of Texas at Austin from 2001 to 2004. Oberman has been recognized for his contributions to AI safety, demonstrating his commitment to improving frameworks around this critical topic. He has received distinguished grants like the Open Philanthropy Grant and held the Canada CIFAR AI Chair at Mila. His research interests encompass various aspects of machine learning and AI, contributing significantly to the understanding and safety of AI technologies. He has been actively involved in initiatives aimed at transitioning careers towards safer AI practices and has contributed to collaborative efforts with prominent figures in the field, such as Yoshua Bengio.
McGill University • Montreal, QC, Canada
Full Professor at McGill University focusing on Machine Learning and AI.
Simon Fraser University • Burnaby, BC, Canada
Facilitated advanced research and teaching in applied mathematics and AI.
University of Texas, Austin • Austin, TX, USA
Conducted research in applied mathematics and machine learning.
Department: Department of Medicine. Program: Experimental Medicine.