Teaching

I’m passionate about teaching and believe it complements research. During my time at Berkeley, I had the pleasure of being involved with many interesting courses.

Graduate

1. IEOR 253: Supply Chain and Logistics Management
   • Term: Spring 2026
   • Teaching assistant under Prof. Chiwei Yan
   • Facilitating and deploying an AI agents team to play the award-winning Calyber: A Ridesharing Game with students in a graduate class.

Graduate & Undergraduate

1. IEOR 145/245: Fundamentals of Revenue Management
   • Term: Fall 2026
   • Grader under Prof. Rajan Udwani

Undergraduate

1. IEOR 142A: Introduction to Machine Learning & Data Analytics
   • Terms: Spring 2026 and Fall 2025
   • Tutor under Prof. Phillip Kerger and Prof. Daniel Pirutinsky
2. Group Tutor for Berkeley Engineering Students Services (CAEE)
   • Term: Fall 2025
   • Responsible for MATH 1A (Calculus I), MATH 1B (Calculus II), MATH 53, MATH 54, DATA 8, DATA 100, CS 61A, IEOR 160, and IEOR 162.
3. IEOR 172: Probability & Risk Analysis for Engineers
   • Term: Spring 2025
   • Grader under Prof. Daniel Pirutinsky
4. CS 88: Computational Structures In Data Science
   • Term: Fall 2024
   • Tutor under Prof. John DeNero
5. IEOR 120: Principles of Engineering Economics
   • Term: Fall 2024
   • Grader under Prof. Daniel Pirutinsky

High School

1. Berkeley GLOBE’s Berkeley Engineering Summer Machine-learning & AI Research Training (BeSMART) program
   • Term: Summer 2026.
   • Student Instructor & Lecturer with Prof. Phillip Kerger
2. Foundations of Machine Learning (FoML), an introductory ML class with no pre-requisites for high school students in the East Bay.
   • Term: Fall 2025, Spring 2026, Fall 2026
   • Course Facilitator & Lecturer for Berkeley GLOBE