Teaching
Current students can take a look at recent syllabi here to get a sense of what my classes are like, but you can generally expect a collaborative classroom where you’ll learn real-world data analysis skills alongside statistical theory. If you are an instructor of a similar course, please reach out and I am happy to share materials with you.
At Carleton:
Stat120: Introduction to Statistics
- Fall 2024 [Visual Syllabus] [Schedule]
Stat220: Introduction to Data Science
Stat250: Introduction to Statistical Inference
- Spring 2025
At Swarthmore:
Stat011: Statistical Methods I
Spring 2022 [Visual Syllabus]
Spring 2021 [Visual Syllabus]
Fall 2019
Stat021: Statistical Methods II
- Fall 2021 [Visual Syllabus]
Stat041: Topics in Applied Statistics: Statistical Graphics and Data Visualization
- January Term 2021 [Course Website] [Syllabus]
Stat051: Probability
- Spring 2020
Stat061: Mathematical Statistics I
- Fall 2023 [Course Github]
At Carnegie Mellon:
Stat225: Introduction to Probability Theory
Summer 2018
Summer 2017
Stat309: Experimental Design for Behavioral and Social Sciences
- Summer 2016