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Joseph Jay Williams is the Director of the Intelligent Adaptive Interventions Lab at the University of Toronto, where he serves as an Assistant Professor in Computer Science. He holds courtesy appointments in Statistical Science, Psychology, and the Vector Institute for Artificial Intelligence. His research focuses on designing real-world AI systems aimed at social good, leveraging adaptive experimentation methodologies to bring AI-driven interventions to various high-impact domains, including education and mental health. Williams has authored a significant body of work, securing over $2 million in grant funding and having impacted more than 500,000 people through his innovative frameworks such as AdaptEx (Adaptive Experiment). His previous appointments include Assistant Professor at the National University of Singapore, a Research Scientist at Harvard, and a Postdoctoral Scholar at Stanford, with a PhD from UC Berkeley. Williams engages actively with PhD students across multiple disciplines, including Human Computer Interaction and applied machine learning, making substantial contributions to the fields of AI and social-behavioral sciences.
University of Toronto • Toronto, Canada
Conduct research and teach in the field of computer science with a focus on AI systems for social impact.
National University of Singapore • Singapore
Engaged in research and instruction in information systems and analytics.
Harvard University • Cambridge, MA, USA
Conducted research in social-behavioral sciences.
Stanford University • Stanford, CA, USA
Worked on advanced AI methodologies in experimental design.
Department of Sociology