Degrees

Ph.D. Mechanical Engineering
University of California, Berkeley, 2022
Major: Control Systems
Minors: Optimization, Statistical Learning Theory
Advised by Prof. Kameshwar Poolla and Prof. Pravin Varaiya

B.S. Electrical Engineering and Computer Science
University of California, Berkeley, 2013

B.S. Mechanical Engineering
University of California, Berkeley, 2013

Coursework

  • Linear/Nonlinear Systems Theory
  • Advanced Control Design
  • Stochastic Systems and Random Processes
  • Convex Optimization
  • Topology and Real Analysis
  • Statistical Learning Theory
  • Deep Reinforcement Learning
  • Electrical Power Systems
  • Energy and Environmental Markets

Teaching Experience

Graduate Student Instructor, UC Berkeley

  • ME100/EE49: Internet of Things — Fall 2018, Spring 2020
    Ran lab and discussion sections covering circuits, microcontrollers, and connecting devices to the internet. Focus centered around running MicroPython on an ESP32

Undergraduate Student Instructor, UC Berkeley

  • E7: Introduction to Computer Programming for Scientists and Engineers — Summer 2012, 2013 Ran lab sections for introductory MATLAB programming course. Contributed to writing and testing the course autograder.

  • EE40: Introduction to Microelectronic Circuits — Summer 2012 Ran lab sections for introductory circuits course.

Volunteer

  • Prison University Project - 2014-2015 Taught Developmental math and elementary algebra at San Quentin Prison

  • Pioneers in Engineering - 2010-2013 Mentored high school students through a seven-week robotics competition. Managed the development of the robotics kit provided to high school teams.