Priya Donti
Co-founder and Chair, Climate Change AI; Assistant Professor, MIT
Priya Donti is an Assistant Professor and the Silverman (1968) Family Career Development Professor at MIT EECS and LIDS. Her research focuses on machine learning for forecasting, optimization, and control in high-renewables power grids. Priya is also the co-founder and Chair of Climate Change AI, a global nonprofit initiative to catalyze impactful work at the intersection of climate change and machine learning. Priya received her Ph.D. in Computer Science and Public Policy from Carnegie Mellon University and her B.S. in Computer Science and Mathematics with an Emphasis in Environmental Analysis from Harvey Mudd College. She was recognized as part of the MIT Technology Review’s 2021 list of “35 Innovators Under 35” and Vox’s 2023 “Future Perfect 50,” and is a recipient of the Schmidt Sciences AI2050 Early Career Fellowship, the ACM SIGEnergy Doctoral Dissertation Award, the Siebel Scholarship, the U.S. Department of Energy Computational Science Graduate Fellowship, and best paper awards at the International Conference on Machine Learning (honorable mention), ACM e-Energy (runner-up), the Power and Energy Conference at Illinois, the Duke Energy Data Analytics Symposium, and the NeurIPS workshop on AI for Social Good.