Gairdner convenes top authorities in AI to discuss its future in Science and Medicine
On October 25, there was buzz and excitement in the MaRS Discovery District Auditorium as audience members flooded in to watch the sold-out 2023 Gairdner Science Week International Symposium "The Future of AI in Science and Medicine."
The 2023 symposium explored the impact Artificial Intelligence (AI) has had, and will continue to have, on science and health equity, and possible issues it poses. Inspired by the award-winning research of 2023 Canada Gairdner International Award laureates Drs. Demis Hassabis and John Jumper, Gairdner convened top authorities in AI present on topics such as building a foundation model for single-cell omics using generative AI, how reinforcement learning can help tackle crucial problems in healthcare, using AI to accelerate scientific discovery and more.
Watch the event recording below.
PhD CBE FRS FREng
Demis Hassabis is the Founder and CEO of DeepMind, the world’s leading AI research company, and now a part of Alphabet. Founded in 2010, DeepMind has been at the forefront of the field ever since, producing landmark research breakthroughs such as AlphaGo, the first program to beat the world champion at the complex game of Go, and AlphaFold, which was heralded as a solution to the 50-year grand challenge of protein folding.
PhD, MPhil John Jumper received his PhD in Chemistry from the University of Chicago, where he developed machine learning methods to simulate protein dynamics. Prior to that, he worked at D.E. Shaw Research on molecular dynamics simulations of protein dynamics and supercooled liquids. He also holds an MPhil in Physics from the University of Cambridge and a B.S. in Physics and Mathematics from Vanderbilt University. At DeepMind, John is leading the development of new methods to apply machine learning to protein biology.
Senior Scientist, Princess Margaret Cancer Centre; Professor, Dept. of Medical Biophysics, University of Toronto; Chief Scientist, Structural Genomics Consortium – Toronto; Scientific leadership team member, Acceleration Consortium
Assistant Professor, University of Toronto CIFAR AI Chair, Vector Institute Lead AI Scientist, Peter Munk Cardiac Center, University Health NetworkGairdner Early Career Investigator 2022Dr. Bo Wang is a tenu...