• University of Washington
       Optimization for statistical learning (Winter 2023-2025). Notes can be viewed here
       Undergraduate Statistical Machine Learning (Spring 2025)
       Multiple Testing and Modern Inference (Fall 2023). Notes can be viewed here
       Statistical Machine Learning for Data Scientists (Spring 2023).
       Applied Statistics Capstone (Winter 2023-2024).
  

• Instructor, ETH Zürich
      Topic: Seminar on Multiple Testing for Modern Data Science
      Co-teaching (with Matthias Löffler), 2020

• Summer School Lectures, University della Svizzera Italiana, Switzerland
      Topic: Data Assimilation and Inverse Problems
      Co-Instructor (with Andrew Stuart), 2018

• Graduate Teaching Assistant, Caltech
       Inverse Problems and Data Assimilation (Fall 2017).
       Mathematical Statistics (Spring 2016).
       Mathematical Optimization (Fall 2014, 2015).