Teaching

I’m passionate about teaching and believe it complements—not competes with—research. Here are a few of my teaching endeavors:

Spring 2026

1. IEOR 142A: Introduction to Machine Learning & Data Analytics - Tutor under Prof. Philip Kerger
2. IEOR 253: Supply Chain and Logistics Management - Facilitating and deploying AI agents team to play the award-winning Calyber: A Ridesharing Game with students in a graduate class!
3. Foundations of Machine Learning (FoML) with updated curriculum!

Fall 2025

1. IEOR 142A: Introduction to Machine Learning & Data Analytics - Grader under Prof. Daniel Pirutinsky
2. Group Tutor for Berkeley Engineering Students Services (CAEE) - Helping Engineering undergrads with:
   • MATH 1A (Calculus I), MATH 1B (Calculus II), MATH 53, MATH 54
   • DATA 8, DATA 100, CS 61A
   • IEOR 160, IEOR 162
3. Course Facilitator & Lecturer for Berkeley GLOBE; ‘Foundations of Machine Learning’, an introductory to ML class for highschoolers in the Bay Area (Advisor: Assistant Teaching Prof. Philip Kerger)
   • Fall ‘25 Course Website

Spring 2025

1. IEOR 172: Probability & Risk Analysis for Engineers - Grader under Prof. Daniel Pirutinsky

Fall 2024

1. CS 88: Computational Structures In Data Science - Tutor under Prof. John DeNero
2. IEOR 120: Principles of Engineering Economics - Grader under Prof. Daniel Pirutinsky