I would be able to work with Chen, people are co-advised in CS and Stats reasonably often. And I think in terms of jobs I am interested in being faculty in either CS or Stats, ideally with an affiliation in some social science (polisci, sociology, econ, tho the first two seem more likely!)
fwiw: the admit site shows MIT Econ admitted 22/700 applicants this year, stanford has never been that competitive.
this is not really something i'm deciding on the basis of right now. i feel like in econ itll be hard to pursue a bunch of my interests and ill have to write almost exclusively 90 page econometrika submissions.
i guess my main q is harvard where between kosuke imai and yilling chen there's very good coverage of my interests or stanford where theres Wager but not many other folks in my areas
My research interests are:
Causal inference and machine learning
Robust (non-parametric) inference
Learning under distributional shift
Learning in strategic settings
Causal inference in competitive settings
In terms of pure fit I _think_ Harvard (especially the EconCS lab) and MIT Econ are the best for the last 2, and Stanford seems the best for the first 3.
I am also interested in doing applied work in the social sciences.
Any advice would be super helpful!