Machine Leaning for Climate and Energy

Speakers - Prof. Priya L. Donti and Ronnie.

Prof. Priya L. Donti is the Co-founder and Executive Director of Climate Change AI and an incoming Assistant Professor at MIT. As the Co-founder and Executive Director of Climate Change AI, her research focuses on machine learning for forecasting, optimization, and control in high-renewable power grids. Specifically, her work explores methods to incorporate the physics and hard constraints associated with electric power systems into deep learning workflows. Priya received her Ph.D. in Computer Science and Public Policy from Carnegie Mellon University and is a recipient of the MIT Technology Review’s 2021 “35 Innovators Under 35” award, the ACM SIGEnergy Doctoral Dissertation Award, the Siebel Scholarship, the U.S. Department of Energy Computational Science Graduate Fellowship, and best paper awards at ICML (honorable mention), ACM e-Energy (runner-up), PECI, the Duke Energy Data Analytics Symposium, and the NeurIPS workshop on AI for Social Good.

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