Sponsored by the Faculty of Math Data Science Graduate Programs, please join University of Waterloo expert in artificial intelligence, Professor Pascal Poupart, for a public talk in which he will describe the key technological advances in recent years which were behind, and ultimately facilitated, these breakthroughs.
Coffee and tea will be provided.
Registration is short, sweet and not mandatory. However, it is strongly encouraged and appreciated so we can anticipate the number of participants and provide you with any updates and information closer to the date - thank you!
Pascal Poupart is a Professor in the David R. Cheriton School of Computer Science at the University of Waterloo, Waterloo (Canada). He is also a Canada CIFAR AI Chair at the Vector Institute and a member of the Waterloo AI Institute. He serves on the advisory board of the AI Institute For Advances in Optimization (2022-present). He served as Research Director and Principal Research Scientist at the Waterloo Borealis AI Research Lab funded by the Royal Bank of Canada (2018-2020). He also served as scientific advisor for ProNavigator (2017-2019), ElementAI (2017-2018) and DialPad (2017-2018). He received the B.Sc. in Mathematics and Computer Science at McGill University, Montreal (Canada) in 1998, the M.Sc. in Computer Science at the University of British Columbia, Vancouver (Canada) in 2000 and the Ph.D. in Computer Science at the University of Toronto, Toronto (Canada) in 2005. His research focuses on the development of algorithms for Machine Learning with application to Natural Language Processing and Material Design. He is most well known for his contributions to the development of Reinforcement Learning algorithms. Notable projects that his research team are currently working on include Bayesian federated learning, probabilistic deep learning, data efficient reinforcement learning, conversational agents, automated document editing, sport analytics, adaptive satisfiability and CO2 conversion & capture.