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Lundi 4 avril
11:30 à 12:00
Conférence Rendez-vous IA Québec (RVIAQ)
  • Mode rediffusion
  • Langue anglaise
  • Lieu Salle Desjardins

Tackling climate change with machine learning A discussion with Prof.

Machine learning can be a powerful tool in helping society reduce greenhouse gas emissions and adapt to a changing climate. In this discussion, we will explore opportunities and challenges in AI-for-climate, from optimizing electrical grids to monitoring crop yield, and how methodological innovations in machine learning can be driven by impactful climate-relevant problems.

La conférence de David Rolnick est présentée en anglais.

Photo David Rolnick
David Rolnick | Co-Founder of Climate Change AI | McGill University

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, NSF Graduate Research Fellow, and Fulbright Scholar, and was named to the MIT Technology Review's 2021 list of "35 Innovators Under 35". He received his Ph.D. in Applied Mathematics from MIT.

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