Scholar
Adam M. Oberman
Google Scholar ID: LPAZlL8AAAAJ
Professor, Department of Mathematics and Statistics, McGill University,
Citations & Impact
Citations
2,442
H-index
27
i10-index
44
Publications
20
Co-authors
60
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
- June 2025, Presentation on AI Risks and Current Approaches to AI Safety; May 2025, LawZero launched; 2025, Open Philanthropy Grant for career transition to AI safety; Working on AI Safety with Yoshua Bengio.
Research Experience
- Joined Safe AI for Humanity (SAIFH) at Mila in 2024; Canada CIFAR AI chair, associate member of Mila since 2020; Full Professor at McGill since 2017; Faculty at McGill since 2012; Simons Fellowship at UCLA in 2017.
Education
- PhD from the University of Chicago; Postdoc at the University of Texas, Austin (2001-2004); Faculty at Simon Fraser University (2004-2012).
Background
- Research Interests: Machine Learning/AI, Applied Mathematics. Bio: Adam Oberman is a McGill Professor.
