Priya Donti

Carnegie Mellon University , 2022
Ph.D. , Computer Science
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Priya Donti is a Ph.D. student in Computer Science and Public Policy at Carnegie Mellon University. She is also a co-founder and chair of Climate Change AI, an initiative to catalyze impactful work in climate change and machine learning. Her work focuses on machine learning for forecasting, optimization, and control in high-renewables power grids. Specifically, her research explores methods to incorporate the physics and hard constraints associated with electric power systems into deep learning models. Priya is a recipient of the MIT Technology Review Innovators Under 35 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.


Carnegie Mellon University

Ph.D. , Computer Science

Class of 2022

Awards & Publications

2021 MIT Technology Review Innovator Under 35
2021 Best Paper Runner-Up, ACM Int’l Conf. on Future Energy Systems (ACM e-Energy)
2019 Best Paper Honorable Mention, International Conference on Machine Learning (ICML)
2017 DOE Computational Science Graduate Fellowship
2015 National Science Foundation Graduate Research Fellowship

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