Ryan Tibshirani

Research Software Teaching Group Other

Professor of Statistics
and Machine Learning
Carnegie Mellon University

Principal Investigator in the Delphi group
Amazon Scholar in AWS AI Labs

Short bio

I am a Professor jointly appointed in the Departments of Statistics and Machine Learning at Carnegie Mellon University. I am also a Principal Investigator in the Delphi group at CMU, and an Amazon Scholar in Alex Smola's group in AWS AI Labs. I have been a CMU faculty since 2011. From 2007-2011, I did my Ph.D. in Statistics at Stanford University, with Jonathan Taylor as my thesis advisor. From 2003-2007, I did my B.S. in Mathematics at Stanford.

Research interests

My research interests lie broadly in statistics, machine learning, and optimization; and I like to think about problems from different angles: applied, computational, theoretical. More specifically, my interests include high-dimensional statistics, nonparametric estimation, distribution-free inference, continuous optimization, and numerical analysis. My main applied focus at this time is on tracking and forecasting epidemics.

Professional service

I am an Associate Editor for the Journal of Machine Learning Research (JMLR), and on the Editorial Board for the Springer Series in the Data Sciences. I am on the Scientific Advisory Board for the Institute for Pure and Applied Mathematics (IPAM).

In the past, I have been an Associate Editor for the Annals of Statistics, Biometrika, Journal of American Statistical Society (JASA), and for a number of ML conferences (NeurIPS, ICML, AISTATS).

A full CV can be found here.