Elias Bareinboim
Columbia University

Bio: Elias Bareinboim is an Associate Professor in the Department of Computer Science and the Department of Biomedical Informatics at Columbia University, where he directs the Causal Artificial Intelligence (CausalAI) Lab. His research focuses on causal and counterfactual inference and their applications to artificial intelligence, machine learning, and data science. He is a recipient of the NSF CAREER Award, the Dan David Prize Scholarship, and the IJCAI Computers and Thought Award.

Noam Brown
OpenAI

Bio: Noam Brown is a researcher at OpenAI working on reasoning, reinforcement learning, and interactive agents. He was a foundational contributor to OpenAI’s reasoning models and has focused on scaling test-time compute and multi-agent systems. Before joining OpenAI, he co-created Libratus and Pluribus, the first AIs to achieve superhuman performance in two-player and multiplayer no-limit poker, and CICERO, the first AI to achieve human-level performance in the strategy game Diplomacy. His work has been recognized with the Marvin Minsky Medal, inclusion in MIT Technology Review’s 35 Innovators Under 35, and recognition from Science for Pluribus as one of the top scientific breakthroughs of 2019. He received his PhD in computer science from Carnegie Mellon University.

Subbarao Kambhampati
Arizona State University

Bio: Subbarao Kambhampati is a professor of computer science at Arizona State University. Kambhampati studies fundamental problems in planning and decision making, motivated in particular by the challenges of human-aware AI systems. He is a fellow of AAAI, AAAS, and ACM, and was an NSF Young Investigator. He was the president of the Association for the Advancement of Artificial Intelligence (AAAI), trustee of International Joint Conference on Artificial Intelligence, and a founding board member of Partnership on AI. Kambhampati’s research as well as his views on the progress and societal impacts of AI have been featured in multiple national and international media outlets.

Samy Bengio
Apple

Bio: Samy Bengio is a senior director of ML research at Apple since 2021, and Adjunct Professor at EPFL, Switzerland, since 2024. Previously, he was a distinguished scientist at Google Research since 2007 where he was heading part of the Google Brain team. Before that, he was at IDIAP, where he co-created the famous open-source Torch library. He is interested in many areas of machine learning research, such as deep architectures, representation learning, vision and language processing, and reasoning.

Yarin Gal
University of Oxford

Bio: Yarin Gal is a Professor of Machine Learning at the Computer Science department, University of Oxford, and Tutorial Fellow in Computer Science at Christ Church, Oxford. He leads the Oxford Applied and Theoretical Machine Learning (OATML) group. He is a Turing AI Fellow at the Alan Turing Institute and Expert Advisor to AISI, the UK Government’s AI Security Institute. He was formerly a Research Director for the Government’s Frontier AI Taskforce where he founded the Safeguards team. His research focuses on Bayesian deep learning and uncertainty quantification in deep learning, with applications deployed in medical settings, robotics, computer vision, and by NASA.

Nathan Sturtevant
University of Alberta

Bio: Nathan Sturtevant is a professor in the Computing Science department at the University of Alberta. His research focuses broadly on combinatorial search in single-agent, multi-agent, and adversarial settings. Nathan’s work on pathfinding had been deployed in the games industry in games such as Dragon Age: Origins. He is a AAAI Fellow, an Amii Fellow, and a Canada CIFAR AI chair. He has received conference best paper awards at AAAI, ICAPS, SoCS and AIIDE and the AIJ Prominent Paper Award in 2020 for his work on multi-agent pathfinding.