Instructor

• CS 70. Discrete Mathematics and Probability Theory, co-taught with Sinho Chewi,
  University of California Berkeley, Summer 2018.

• CS 70. Discrete Mathematics and Probability Theory, co-taught with Hongling Lu and Allen Tang,
  University of California Berkeley, Summer 2017.

Teaching Assistant

• EE 226A. Random Processes in Systems, taught by Venkat Anantharam,
  University of California Berkeley, Fall 2019.

• CS 270. Combinatorial Algorithms and Data Structures, taught by Satish Rao,
  University of California Berkeley, Spring 2019.

• EE 226A. Random Processes in Systems, taught by Venkat Anantharam,
  University of California Berkeley, Fall 2018.

• EECS 126. Probability and Random Processes, taught by Kannan Ramchandran,
  University of California Berkeley, Spring 2018.

• EE 227BT. Convex Optimization, taught by Venkat Anantharam,
  University of California Berkeley, Fall 2017.

• CS 189/289A. Introduction to Machine Learning, taught by Jonathan Shewchuk,
  University of California Berkeley, Spring 2017.

• MATH 16B. Analytic Geometry and Calculus, taught by Antonio Montalban,
  University of California Berkeley, Fall 2016.

• MATH 16A. Analytic Geometry and Calculus, taught by Theodore Slaman,
  University of California Berkeley, Spring 2016.

• CS 170. Efficient Algorithms and Intractable Problems, taught by Sanjam Garg and Prasad Raghavendra,
  University of California Berkeley, Fall 2015.

For my teaching work I have won the Outstanding Graduate Student Instructor Award from the University of California Berkeley.