Assistant Professor, EECS & LIDS at Catalyst Cooperative
Cambridge, Massachusetts, United States
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Summary
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Priya Donti is an Assistant Professor at MIT EECS & LIDS and the Silverman Family Career Development Professor who builds physics-informed and constraint-aware machine learning systems for forecasting, optimization, and control of high-renewables power grids. Co-founder and Chair of Climate Change AI, she bridges academic research, policy engagement, and global community-building to accelerate ML-driven climate solutions. Her work blends deep learning with domain constraints and decision-focused methods, informed by industry stints at DeepMind and consulting for grid operators. A recipient of MIT Technology Review’s “35 Innovators Under 35” and the ACM SIGEnergy Dissertation Award, she combines top-tier research training with practical deployments. Before academia she traveled the world on a Watson Fellowship studying next-generation electricity systems—an experience that still shapes her cross-cultural, systems-level perspective.
13 years of coding experience
4 years of employment as a software developer
High School, High School at The Pingree School
Bachelor of Science (BS) Joint Computer Science/Mathematics Emphasis in Environmental Analysis, Bachelor of Science (BS) Joint Computer Science/Mathematics Emphasis in Environmental Analysis at Harvey Mudd College
PhD Computer Science & Public Policy, PhD Computer Science & Public Policy at Carnegie Mellon University
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