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Instructor (UCLA)​​

• Stat 201B: Statistical Modeling and Learning (Winter 2023).​

• Stat 211: Economics and Machine Learning (Winter 2023).

• SCALE Reading Group (Fall 2022 -).

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Co-Instructor (UC Berkeley)

• Econ 217: Risk Seminar (Fall 2021, Spring 2022).​

• Stat 272: Statistical Consulting (Fall 2019).

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Instructor (UW-Madison)

• Stat 312: Mathematical Statistics (Spring 2018, Fall 2018, Spring 2019). Syllabus.

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Teaching Assistant (UW-Madison)

• Stat 301: Introduction to Statistical Methods (Fall 2017).
• Stat 860: Estimation of Functions from Data (Fall 2016).
• Stat 840: Statistical Model Building and Learning (Fall 2015).
• Math 721: Real Analysis (Spring 2015).
• Math 632: Introduction to Stochastic Processes (Fall 2014).