Guest lecture by Joseph Jay Williams

Guest lecture by Joseph Jay Williams (University of Toronto) on Engaging Customers & Users Using SuperExperimentation: Designing Technology using HCI, AI, Psychology, Statistics & Econ.

Bio: Joseph Jay Williams is an Assistant Professor at the University of Toronto in Computer Science, with courtesy appointments to supervise PhD students in Statistical Science, Psychology, and the Vector Institute for Artificial Intelligence, and courtesy appointments in Economics & Industrial Engineering.

He directs the Intelligent Adaptive Interventions lab, which aims to transform any user interface into an Intervention to help people change their behaviour and learn, by reimagining randomized "A/B" experiments as a tool for Intelligent Adaptation.

His lab's work is represented in over 80 papers (www.intadaptint.org/papers), 2 Best Paper Awards (1 at CHI), 4 Runner Up/Honorable Mention for Best Paper (CHI, EDM, LAS), and 1st place in a $1M Xprize competition for the future of experimentation technology in education. They've received over $2M in grant funding, enabling interventions impacting over 500 000 people.

The 11 PhD Students span HCI (Human Computer Interaction), Cognitive/Social/Clinical/Health Psychology, applied ML (reinforcement learning), applied AI (LLMs), & Statistics.

Joseph was previously an Assistant Professor in Information Systems & Analytics at National University of Singapore, Research Scientist at Harvard, postdoc at Stanford, and did his PhD at UC Berkeley. He is originally from Trinidad and Tobago.

Talks for different audiences are at www.intadaptint.org/representative-talks, and his research agenda on Intelligent Adaptive Experimentation is summarized at the URL tiny.cc/williamsresearch.