CIS Seminar: “Tackling climate change with machine learning”
November 30 at 3:30 PM - 4:30 PM
Machine learning can be a powerful tool in helping society reduce greenhouse gas emissions and adapt to a changing climate. In this talk, we will explore opportunities and challenges in AI-for-climate, from optimizing electrical grids to monitoring crop yield, and how these impactful problems can also drive methodological innovations in machine learning.
Assistant Professor and Canada CIFAR AI Chair in the School of Computer Science at McGill University and at Mila Quebec AI Institute.
David Rolnick is an Assistant Professor and Canada CIFAR AI Chair in the School of Computer Science at McGill University and at Mila Quebec AI Institute. He is a Co-founder and Chair of Climate Change AI and serves as Scientific Co-director of Sustainability in the Digital Age. Dr. Rolnick is a former NSF Mathematical Sciences Postdoctoral Research Fellow at the University of Pennsylvania, NSF Graduate Research Fellow at MIT, and Fulbright Scholar, and was named to the MIT Technology Review’s 2021 list of “35 Innovators Under 35”.