Who we are
Faculty
I enjoy thinking about problems where the goal is to discover interpretable structure which underlies the data generating process. This includes problems in the areas of causal discovery, graphical models, and mixed membership models. In many cases, the methods are tailored for the high-dimensional setting where the number of variables considered may be large when compared to the number of observed samples. My applied interests vary but are generally social science related.
PhD Candidate
Applied Mathematics
mec383@cornell.edu
Thur 11-12 Rhodes Hall 657 (Room 1)
I’m currently working on problems in causal inference under network interference. I think causal inference is really cool because it has applications across so many different fields. I’m generally interested in applications to public health, social welfare, and social good. In my free time, I enjoy singing, dancing, cooking, watching movies, and traveling to various theme parks.
Teaching assistants
I am currently working on problem related to Causality, particularly on Causal and Graph discovery for Functional data. I am interested in how to learn interpretable structures from data with hidden confounders. In my free time I enjoy playing basketball, running and hanging out with friends.
PhD Student
Statistics and Data Science
sm2267@cornell.edu
Wed 5:30-6:30 Comstock 1187
I am currently working on graphical models with noisy measurements. I am interested in causal discovery and its applications in social science and biology. In my free time I like doing puzzles, playing pool, and baking.