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My research interests lie broadly in statistics, machine learning, and optimization. More specifically, my interests include high-dimensional statistics, nonparametric regression, selective inference, distribution-free inference, graph-based learning, convex optimization, numerical methods, and implicit regularization. My main applied focus at this time is on methods for forecasting epidemics (primarily seasonal flu).

I am currently serving as an Associate Editor for:

- Annals of Statistics;
- Journal of the American Statistical Association (JASA);
- Journal of Machine Learning Research (JMLR).

A full CV can be found here.