Priya Donti

  • Program Year: 2
  • Academic Institution: Carnegie Mellon University
  • Field of Study: Computer Science and Public Policy
  • Academic Advisor: Zico Kolter
  • Practicum(s):
    National Renewable Energy Laboratory (2018)
  • Degree(s):
    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.

Publications

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.

Awards

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.