Organizers
Assistant Professor
McGill University
School of Computer Science and Department of Linguistics
Siva Reddy is an Assistant Professor in the School of Computer Science and Linguistics at McGill University, a Canada CIFAR AI Chair, a core faculty member of Mila Quebec AI Institute, and a research scientist at ServiceNow Research. He co-leads the McGill NLP Group. Previously, he was a postdoctoral researcher at Stanford University and a Google PhD fellow at the University of Edinburgh. His research interests are in representation learning for language with a specific focus on reasoning, grounding, conversational modeling, and safety.
UC Berkeley
Dawn Song is a Professor in Computer Science at UC Berkeley and Co-Director of Berkeley Center for Responsible Decentralized Intelligence. Her research interest lies in AI and deep learning, security and privacy, and decentralization technology. She is the recipient of various awards including the MacArthur Fellowship, the Guggenheim Fellowship, the NSF CAREER Award, the Alfred P. Sloan Research Fellowship, the MIT Technology Review TR-35 Award, ACM SIGSAC Outstanding Innovation Award, and more than 10 Test-of-Time Awards and Best Paper Awards from top conferences in Computer Security and Deep Learning. She has been recognized as Most Influential Scholar (AMiner Award), for being the most cited scholar in computer security. She is an ACM Fellow and an IEEE Fellow. She obtained her Ph.D. degree from UC Berkeley. She is also a serial entrepreneur and has been named on the Female Founder 100 List by Inc. and Wired25 List of Innovators.
IVADO
Université de Montréal
Mila
Yoshua Bengio is a full professor in the Department of Computer Science and Operations Research at Université de Montréal, as well as the Special Advisor and Founding Scientific Director of IVADO and Scientific Advisor and Founder of Mila . He holds a Canada CIFAR AI chair and is the recipient of the 2018 A.M. Turing Award, considered the “Nobel Prize of computing.”
He is a fellow of both the U.K.’s Royal Society and the Royal Society of Canada, an officer of the Order of Canada, a knight of the Legion of Honor of France, and a member of the U.N.’s Scientific Advisory Board for Independent Advice on Breakthroughs in Science and Technology.
UC Berkeley
Alane Suhr is an Assistant Professor of Computer Science at UC Berkeley, affiliated with the Berkeley AI Research (BAIR) Lab. Alane’s research focuses on language use and learning in interaction, especially situated and collaborative interactions; agents that use language and language-conditioned agentic systems; and language grounding to perception and action.
IVADO
Polytechnique Montréal
Université de Montréal
Mila
Chris Pal is a world renowned expert in deep learning (DL), probabilistic machine learning and applied AI. He received a Google focused faculty Research Award twice (in 2017 and in 2009). He brings a unique multidisciplinary expertise to the team with his strong theoretical background (DL, graphical models, causality, etc.) as well as his key expertise in Natural Language Processing and Computer Vision applied to a wide range of applications domain (medical imaging in health care, satellite imaging for biodiversity and climate change, autonomous driving related to transportation).
Ohio State University
Yu Su is a Distinguished Assistant Professor of Computer Science and Engineering at The Ohio State University, where he co-directs the NLP group. He has broad interests in artificial intelligence, with a primary interest in the role of language as a vehicle for reasoning and communication. His recent work covers many facets of AI agents including memory, planning, grounding, and safety. He is a 2025 Sloan Research Fellow and has received multiple paper awards from CVPR and ACL.
University of Waterloo
Vector Institute
Victor Zhong is an Assistant Professor in the David R. Cheriton School of Computer Science at the University of Waterloo, and a Canada CIFAR AI Chair at the Vector Institute. His research is on efficient machine learning methods that interpret language to generalize to new problems. His group, the Reading to Learn Lab, works on grounded language agents, test-time adaptation, and learning from language feedback. Victor received a PhD in Computer Science from the University of Washington, a Master’s in Computer Science from Stanford University, and a Bachelor’s in Computer Engineering from the University of Toronto.
Workshops
Bootcamp: Focusing on the Current State of Agents
1st Workshop: Assessing and Improving the Capabilities and Safety of Agents
2nd Workshop: Deploying Autonomous Agents: Lessons, Risks, and Real-World Impact
Long-Term Visitors
Joyce Chai is a Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan. She holds a Ph.D. in Computer Science from Duke University. Her research interests span from natural language processing and embodied AI to human-AI collaboration. Her current work explores the intersection between language, vision, and robotics to enable situated communication with embodied agents. She is a recipient of the NSF Career Award. She has also received multiple awards with her students (e.g., Best Long Paper Award at ACL 2010, Outstanding Paper Awards at EMNLP 2021 and ACL 2023, and the First Place in the Amazon Alexa AI Simbot Challenge 2023). She is a Fellow of ACL.
Abhik Roychoudhury is Provost’s Chair Professor of Computer Science at the National University of Singapore (NUS), where he leads a research team on Trustworthy and Secure Software (TSS). He is Senior Advisor at SonarSource, subsequent to the acquisition of his spinoff AutoCodeRover on AI agents for coding. He received his PhD in Computer Science from the Stony Brook University in 2000, and has been a faculty member at NUS School of Computing since 2001. Abhik’s group at NUS has focused on symbolic program analysis, along with applications of program analysis to areas such as computer security, agentic AI or cyber-physical systems. These works have been honored with various awards including an International Conference on Software Engineering (ICSE) Most Influential Paper Award (Test-of-time award) for (symbolic analysis based) program repair, IEEE New Directions Award 2022 (jointly with Cristian Cadar) for contributions to symbolic execution.
Abhik was the inaugural recipient of the NUS Outstanding Graduate Mentor Award 2024. Doctoral students graduated from his research team have taken up faculty positions in many top academic institutions. He has served the software engineering research community in various capacities including as chair of the major conferences of the field, ICSE (in 2024) and FSE (in 2022). Currently, he serves as chair of the FSE steering committee. He is a member of the editorial board of Communications of the ACM. He is the current Editor-in-Chief of the ACM Transactions on Software Engineering and Methodology (TOSEM). Abhik is a Fellow of the ACM, recognized for contributions to automated program repair and fuzz testing.
Ivan Titov is Full Professor at the Universities of Edinburgh and Amsterdam. In Edinburgh, he directs the Centre for Doctoral Training in Natural Language Processing and the local ELLIS unit. His research focuses on developing language models that are trustworthy, robust, interpretable, and controllable. He has received paper awards at top conferences (including ACL and EMNLP) and fellowships such as an ERC grant and a Dutch Vici award. Ivan is a Turing Fellow, an ELLIS Fellow, and co-director of the ELLIS NLP program. He has also served as program chair for ICLR and CoNLL, and as an editor for TACL and JMLR.