Priya L. Donti

Priya L. Donti is an Assistant Professor at the Massachusetts Institute of Technology (MIT) in the Department of Electrical Engineering and Computer Science (EECS) and the Laboratory for Information and Decision Systems (LIDS). She is also a co-founder and Chair of Climate Change AI, a global nonprofit promoting impactful work at the intersection of climate change and machine learning. Her research focuses on machine learning for forecasting, optimization, and control in high-renewables power grids, emphasizing physics-informed deep learning and constraint integration.

• MIT EECS and LIDS (2024–Present)
• Runway Startup Postdoc at Cornell Tech and Jacobs Institute (2022–2024)
• PhD in Computer Science and Engineering & Public Policy from Carnegie Mellon University (CMU)
• Undergraduate in Computer Science and Mathematics with Environmental Analysis emphasis from Harvey Mudd College

Her work combines machine learning with power systems to address climate challenges. She explores physics-informed ML, adversarial robustness, and end-to-end model learning in energy optimization. Her publications (2015–2024) span AI for climate mitigation, optimal power flow, and synthetic data evaluation.

Notable scientific awards include MIT Technology Review's 35 Innovators Under 35 (2021), Vox's Future Perfect 50 (2023), and Schmidt Sciences AI2050 Early Career Fellowship. Her PhD received the ACM SIGEnergy Doctoral Dissertation Award, and she held prestigious fellowships during her studies.

Priya leads research groups at MIT LIDS and EECS, focusing on AI-driven energy system optimization. She advocates for community engagement in AI research and has contributed to policy recommendations through reports for the Global Partnership on AI and the Heinrich Böll Foundation.