CV
Education
- Ph.D in Computational Science & Engineering, Massachusetts Institute of Technology, 2025 (expected)
- M.S. in Computational Science & Engineering, Massachusetts Institute of Technology, 2021
- MPhil in Energy Technologies (Gates Scholar), University of Cambridge, 2019
- B.S. in Mechanical Engineering, minor in Electrical Engineering & Computer Science, UC Berkeley, 2018
- B.A. in Economics, UC Berkeley, 2018
Work experience
- September 2019-present: Graduate Student Researcher at MIT
- January 2024-present: Artificial Intelligence fellow at Pillar VC
- Customer discovery to explore commercial applications of my research in improved time series forecasting and physics-informed machine learning for power systems
- May-December 2023: Computational Scientist PhD Resident at X, the Moonshot Factory (formerly Google X)
- May-August 2022: Research Intern at the National Renewable Energy Lab (NREL)
- System modeling and digital real-time simulation for hardware-in-the-loop validation of optimization/control algorithms in power distribution grids
- Supervisors: Venkatesh Venkataramanan and Rob Hovsapian
- May-October 2021: Research Consultant at Avangrid
- Worked with Avangrid’s Smart Grid Innovation team to design and implement a DERMS (Distributed Energy Resources Management System) pilot project
- May-September 2020: Research Intern at Siemens
- Markets, algorithm design, and optimization methods for coordinating distributed energy resources and demand response capabilities in the grid
- Supervisors: Amit Chakraborty, Biswadip Dey
- November 2018-September 2019: Graduate Student Researcher at the University of Cambridge
- Worked on the optimal design, energy management, and control of stable, resilient microgrids for remote, isolated communities
- Advisor: Ioannis Lestas
- January 2016-May 2018: Honors Undergraduate Researcher at UC Berkeley
- Designed and programmed low-cost energy monitoring sensors and analyzed data to understand electricity use among low-income households and promote behavioral energy efficiency, supervised by Duncan Callaway and Kameshwar Poolla
- Studied optimization and centralized control of long-range electric vehicle charging scheduling along highway networks, supervised by Claire Tomlin
- Studied impacts of temperature gradients on indoor air quality, supervised by William Nazaroff
