Ryan Tibshirani

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Short bio

I am an Associate Professor jointly appointed in the Departments of Statistics and Machine Learning at Carnegie Mellon University. I joined the Statistics faculty at Carnegie Mellon University in 2011, and I joined the Machine Learning faculty in 2013. I did my Ph.D. in Statistics at Stanford University in 2011. My thesis advisor was Jonathan Taylor. Before that, I did my B.S. in Mathematics at Stanford University in 2007.


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


I am currently an Associate Editor for: Annals of Statistics, Journal of the American Statistical Association (JASA), and Journal of Machine Learning Research (JMLR). I am occasionally an Area Chair for the conferences: Artificial Intelligence and Statistics (AISTATS), International Conference on Machine Learning (ICML), and Neural Information Processing Systems (NeurIPS) (usually just for one of these conferences per year). I am on the Editorial Board for the Springer Series in the Data Sciences. I am on the Scientific Advisory Board the Institute for Pure and Applied Mathematics (IPAM).

A full CV can be found here.