Priya Donti
1993–
ML for climate and power systems
Co‑founded Climate Change AI; develops learning‑based forecasting and optimization methods for grid reliability and decarbonization, integrating physics and constraints.
Major Contributions
- - Co‑founded Climate Change AI (2019) to catalyze impactful AI work on climate mitigation and adaptation
- - Develops learning‑based optimization and control methods for high‑renewables power grids
- - Integrates physical constraints and domain structure into deep learning for reliable operations
- - Leads community building via tutorials, workshops, and research programs across top ML venues
- - Bridges AI research with policy and deployment for decarbonized, resilient energy systems
Recognition
- MIT Technology Review 35 Innovators Under 35 (2021)
- ACM SIGEnergy Doctoral Dissertation Award
- Schmidt Sciences AI2050 Early Career Fellow (2023)