Larry Alan Wasserman (born 1959) is a Canadian-American statistician and a professor in the Department of Statistics & Data Science and the Machine Learning Department at Carnegie Mellon University.

Wasserman received his Ph.D. from the University of Toronto in 1988 under the supervision of Robert Tibshirani.

He received the COPSS Presidents' Award in 1999[2] and the CRM-SSC Prize in 2002.

[3] He was elected a fellow of the American Statistical Association in 1996,[1] of the Institute of Mathematical Statistics in 2004,[4] and of the American Association for the Advancement of Science in 2011.

[7] Wasserman has written many research papers about nonparametric inference, asymptotic theory, causality, and applications of statistics to astrophysics, bioinformatics, and genetics.