- Program Year: 2
- Academic Institution: Carnegie Mellon University
- Field of Study: Computer Science and Public Policy
- Academic Advisor: Zico Kolter
National Renewable Energy Laboratory (2018)
B.S. Computer Science and Mathematics, Harvey Mudd College, 2015
- Personal URL: http://priyadonti.com
Summary of Research
My work seeks to develop machine learning, optimization, and control methods for robust, emissions-minimal energy system management that are powerful enough to cope with the system's large-scale nature.
Priya L. Donti, Brandon Amos, and J. Zico Kolter. Task-based End-to-End Model Learning in Stochastic Optimization. Neural Information Processing Systems (NIPS) 2017.
National Science Foundation Graduate Research Fellowship, 09/2015 - 08/2017.
Thomas J. Watson Fellowship (National Award), 07/2015-08/2016.
Don Chamberlain Computer Science Research Award (Harvey Mudd College), 05/2015.
Radley Prize in Humanities, Social Sciences, and the Arts (Harvey Mudd College), 05/2015.
Computing Research Association Outstanding Undergraduate Finalist (National Award), 12/2014.
William and Wyllis Leonhard Merit Scholarship (Harvey Mudd College), 10/2014.
Udall Scholarship Honorable Mention (National Award), 04/2014.
Dean Chris Sundberg HMC Leadership Prize (Harvey Mudd College), 05/2013.
Jean and Joseph Platt Prize (Harvey Mudd College), 09/2012.
Harvey Mudd President's Scholarship, 09/2011-05/2015.