Teaching & mentoring
Teaching experience
Courses taught as a teaching assistant
Graduate courses
- STATS 425Large Language Models in Text Mining
- STATS 403Mathematical Statistics
Theory & data analysis
- STATS 100BIntroduction to Mathematical Statistics
- STATS 100CLinear Models
- STATS 101AIntroduction to Data Analysis and Regression
Computing & statistical practice
- STATS 102AIntroduction to Computational Statistics with R
- STATS 102CIntroduction to Monte Carlo Methods
- STATS 140XPPractice of Statistical Consulting
Foundations
- STATS 10Introduction to Statistical Reasoning
- STATS 13Introduction to Statistical Methods for Life and Health Sciences
Course materials
LLM training labs
I designed a sequence of Python labs that builds from next-token probabilities and log loss to supervised fine-tuning, text generation, reinforcement learning from verifiable rewards and human preferences, calibration and conformal prediction, and retrieval. In each lab, students predict how a computational choice will affect model behavior, test the prediction, and explain what the results support. Every lab runs in Google Colab.
Mentoring experience
Research & data analysis mentoring
Research mentoring
I currently mentor one master’s student in Statistics and two undergraduates in Computer Science and Statistics and Data Science on research projects in LLM uncertainty and matching markets.
ASA DataFest at UCLA
From 2023 to 2026, I mentored undergraduate teams in an annual data analysis competition, helping them frame feasible questions and weigh modeling choices while preserving their ownership of the analysis.