Larry Wasserman

I am a professor in the Department of Statistics and the Machine Learning Department at Carnegie Mellon University. I received my Ph.D. from the University of Toronto in 1988. I was awarded the COPSS Presidents’ Award in 1999 for the outstanding statistician under age 40, and the CRM-SSC Prize in 2002. I am an elected fellow of the American Statistical Association, Institute of Mathematical Statistics, and the American Association for the Advancement of Science. My research papers frequently focus on nonparametric inference, asymptotic theory, causality, and applications of statistics to astrophysics, bioinformatics, and genetics. I have also written two advanced statistics textbooks: “All of Statistics,” and “All of Nonparametric Statistics.”

Specific Research Interests

My research interests include machine learning, high dimensional inference, nonparametric inference, statistical topology, and astrostatistics.