Teaching

𓀀 Cornell University

Introduction to Machine Learning
CS 3780/5780
Fall 2024: Graduate Teaching Assistant
The intro to machine learning core course at Cornell, taught by Prof. Sarah Dean, Prof. Thorsten Joachims, and Prof. John Thickstun.
Introduction to Reinforcement Learning
CS 4789
Spring 2023, Spring 2024: Teaching Assistant
The intro to reinforcement learning course, taught by Prof. Sarah Dean.
Advanced Machine Learning
CS 6780
Fall 2023: Teaching Assistant
Graduate-level machine learning course for PhD students, taught by Prof. Thorsten Joachims.
Introduction to Analysis of Algorithms
CS 4820
Fall 2022: Teaching Assistant
The algorithm analysis core course at Cornell, taught by Prof. Anke van Zuylen.
Object-Oriented Programming and Data Structures
CS 2110
Summer 2022: Teaching Assistant
The data structure core course at Cornell, taught by Prof. Alexa VanHattum.
Discrete Structures
CS 2800
Spring 2022, Fall 2021: Teaching Assistant
The discrete structure core course at Cornell, taught by Prof. Anke van Zuylen.
Linear Algebra
MATH 2940
Fall 2021: AEW Facilitator
The linear algebra core course for engineering students at Cornell, taught by Prof. Ed Swartz.

𓀁 X Academy

Computational Social Science
Summer 2021: Academic Leader
A place where people learn fun things and innovate. My course was the philosophical aspects of how large ML systems could impact human society.