Priya Donti

Ph.D. Student, Computer Science and Public Policy, Carnegie Mellon University

Role: Scientist

Site: CDL-Paris

Stream: Climate

Priya Donti is a Ph.D. student in Computer Science and Public Policy at Carnegie Mellon University, and a U.S. Department of Energy Computational Science Graduate Fellow. Her work lies at the intersection of machine learning, electric power systems, and climate change mitigation. Specifically, she is interested in creating machine learning techniques that incorporate domain knowledge (such as power system physics) to reduce greenhouse gas emissions from the electricity sector. She is also co-founder and chair of Climate Change AI, an initiative to facilitate impactful work at the intersection of climate change and machine learning.