Priya Donti is a PhD student in Computer Science and Public Policy at Carnegie Mellon University. She is also a cofounder 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 member of the MIT Technology Review "35 Innovators Under 35" 2021 global list; a recipient of the Siebel Scholarship and the US Department of Energy Computational Science Graduate Fellowship; and a recipient of 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.