Larry Wasserman is a Professor in the Department of Statistics and the Department of Machine Learning at Carnegie Mellon University. D. from the University of Toronto in 1988. He received the COPSS Presidents' Award in 1999 for outstanding statistician under 40, and the CRM-SSC Award in 2002. He is also an elected member of the American Statistical Association, the Institute of Mathematical Statistics and the American Association for the Advancement of Science. His research interests include nonparametric inference, asymptotic theory, causality and applications of statistics to astrophysics, bioinformatics and genetics. He has also written two textbooks on advanced statistics: “ All of Statistics ‘ and ’ All of Nonparametric Statistics ”.