teaching

Guest lectures

• Time-varying confounding and treatments, Winter 2026
• Causal DAGs and their variants, Spring 2024

Instructor, University of Michigan

• [STATS 500] Regression analysis:
  • Syllabus, Fall 2026
  • Syllabus, Winter 2026
• [STATS 412] Introduction to probability and statistics:
  • Syllabus, Fall 2025
  • Syllabus, Winter 2025

Instructor, University of Washington

• [Short Course] Causal Inference with Observational Data: Common Design and Statistical Methods, Summer 2024:
  • RCT
  • g-computation
  • time-varying treatment
• [BIOST/STAT 533] Theory of Linear Models, Spring 2024: [Syllabus] [Slides] [Textbook]
• [STAT/MATH 394] Undergraduate Probability I, Summer 2020: [Syllabus]
• [STAT/MATH 395] Undergraduate Probability II, Summer 2020: [Syllabus]

Supervisor, University of Cambridge

• Statistical Modelling (Part II, Math tripos): 2021 and 2022.