CV
Education
University of California, Santa Barbara, Santa Barbara, CA
Ph.D. in Electrical and Computer Engineering, expected June 2026
M.S. in Electrical and Computer Engineering, December 2024
Advisor: Prof. Mahnoosh Alizadeh
Concentration: Control Systems
GPA: 4.0/4.0
Relevant coursework: Linear Systems, Stochastic Processes, Estimation, Theoretical Machine Learning, Optimization, Optimal Control, Robust Control, Game Theory.
Colorado School of Mines, Golden, CO
B.S. in Electrical Engineering, summa cum laude, June 2021
GPA: 3.98/4.0
Research Experience
Mitsubishi Electric Research Laboratories, Cambridge, MA
Intern, June 2025 - September 2025
Host: Ankush Chakrabarty
Research topics: stochastic model predictive control with deep forecasting models.
University of California, Santa Barbara, Santa Barbara, CA
Graduate Student Researcher, September 2021 - Present
Advisor: Prof. Mahnoosh Alizadeh
Research topics: safe learning, pricing design, online optimization, bandit learning, smart grid.
National Renewable Energy Laboratory, Golden, CO
Science Undergraduate Laboratory Internship (SULI), June 2021 - August 2021
Mentors: Willy Bernal-Heredia and Omkar Ghatpande
Research topic: resilience metrics for building-level electrical distribution systems.
Colorado School of Mines, Golden, CO
Undergraduate Research Assistant, March 2020 - September 2021
Advisor: Prof. Tyrone Vincent
Research topic: identification of low-order dynamics models for lithium batteries.
Honors and Awards
- UCSB ECE Outstanding TA Award, June 2023
- NSF GRFP Honorable Mention, 2022
- UCSB ECE Department Fellowship, Winter 2022
- CSM EE Outstanding Graduating Senior, Spring 2021
- Tau Beta Pi Honor Society, Fall 2020
Teaching Experience
University of California, Santa Barbara, Santa Barbara, CA
Teaching Assistant, 2022 - Present
- ECE 133: Introduction to Optimization and Learning, Fall 2023 and Fall 2024
- ECE 10C: Foundations of Analog and Digital Circuits and Systems, Spring 2022, Spring 2023, Spring 2024, and Spring 2025
- ECE 284: Theoretical Machine Learning, Grader, Fall 2024
Reviewing
- Machine Learning: ICML, NeurIPS, ICLR, AISTATS, AAAI
- Controls: IEEE Transactions on Automatic Control, Automatica, IEEE Control Systems Letters, IEEE Transactions on Control of Network Systems, CDC, ACC, L4DC, NecSys
- Other: IEEE Transactions on Smart Grid, IEEE/ACM Transactions on Networking