Title: Assistant Professor

Email: ryantibs at cmu.edu

Webpage: http://www.stat.cmu.edu/~ryantibs

Research Interests:

Ryan's research concerns estimation and inference for statistical learning problems, from both the applied and theoretical perspectives. His interests also include model selection, describing and understanding model complexity, cross-validation and resampling methods, convex optimization and geometry, and the statistics of sports and games.

Bio:

Ryan's early academic interests were in Mathematics and Computer Science. He graduated from Stanford University in 2007 with a B.S. in Mathematics, and a minor in Computer Science. Working on some applied statistics projects at the end of his undergraduate career convinced him that Statistics really offered the best of both worlds! He graduated with a Ph.D. in Statistics from Stanford University in 2011, with Jonathan Taylor as his advisor. In the fall of 2011, he joined the faculty of Statistics at Carnegie Mellon University as an Assistant Professor.