I am always happy to hear from MIT students, including undergraduate and graduate students, who want to contribute to research on social networks, applied graph theory, habits, and statistics.
Teaching at MIT
Design and analysis of experiments
Fall 2023. 15.838. M 2-5pm.
Doctoral seminar with a combination of (a) methodological readings and lectures on experimental design and randomization inference and policy learning, especially for field experiments, and (b) critical readings of important work using randomized experiments. Syllabus.
Marketing and product analytics
Spring 2024. 15.819.
Information on the previous version (titled “Marketing analytics”) is here.
Topics in research design
Spring 2022. 15.838.
Doctoral seminar on designing empirical research, with a focus on causal inference. The course pairs methodological topics with relevant empirical studies. Topics include regression discontinuity designs, partial identification, and sensitivity analysis. Syllabus.
Free online courses
Exploratory data analysis with R
Massive open online course (MOOC) on Udacity. With Moira Burke, Chris Saden, and Solomon Messing. Enroll for free here.
Previous teaching at Stanford University
Communication 114S. Persuasion, Contagion, and Compliance-Gaining in Online Media
Summer 2011. Syllabus.