Priya L. Donti

Priya L. Donti is an Assistant Professor at MIT's Department of Electrical Engineering and Computer Science (EECS) and Laboratory for Information and Decision Systems (LIDS). She co-founded and chairs Climate Change AI, a global nonprofit focusing on climate-AI intersections.

• Education:
  • Ph.D. in Computer Science & Engineering & Public Policy, Carnegie Mellon University (advised by Zico Kolter and Inês Azevedo)
  • Undergraduate in Computer Science & Math, Harvey Mudd College

Research Focus: Machine learning for high-renewables power grids, incorporating physics and constraints into deep learning. Key areas include robust optimization, control systems, and climate-AI alignment.

Article Trends: 2024-2022 works emphasize climate mitigation through AI (keywords: environmental science, AI ethics, policy modeling), while 2019-2021 studies focus on grid stability (power engineering, optimization) and hybrid AI-logic systems (symbolic reasoning, constraint handling).

Scientific Recognition:

• MIT Technology Review 35 Innovators Under 35 (2021)
• Vox Future Perfect 50 (2023)
• Schmidt Sciences AI2050 Early Career Fellowship
• ACM SIGEnergy Doctoral Dissertation Award (2022)
• Best paper/poster awards at ACM e-Energy 2021 and PECI 2019

Her group at MIT develops physics-informed ML for power grids, with funding from NSF, DOE, and Center for Climate and Energy Decision Making. She actively advises prospective students through MIT EECS applications.