Larry Wasserman Elected To National Academy of Sciences

Shilo ReaWednesday, May 4, 2016

Carnegie Mellon statistician Larry Wasserman has been elected to the National Academy of Sciences (NAS) in recognition of his distinguished and continuing achievements in original research.

Acclaimed Carnegie Mellon University statistician Larry Wasserman has been elected to the National Academy of Sciences (NAS) in recognition of his distinguished and continuing achievements in original research. NAS membership is one of the highest honors a scientist can receive.

"Larry is a no-nonsense, brilliant academic, but a playful and warm human being," said Richard Scheines, dean of the Dietrich College of Humanities and Social Sciences. "He is a prototypical CMU interdisciplinary researcher — he has made deep foundational contributions, strayed widely into areas like machine learning and even philosophy, and done important applied work in astronomy."

Wasserman, a professor of statistics and machine learning who joined the CMU faculty in 1988, became a statistician because he enjoyed the combination of math and its applications. His research spans both theoretical and applied statistics. On the theoretical side, he focuses on the intersection of statistics and machine learning, which is becoming increasingly important in the era of big data as both work to analyze data for high-dimensional problems. His work has provided new methods and theory for simultaneously estimating the relationships between large numbers of variables and for finding subtle spatial structure in complex datasets.

"Larry does it all," said Christopher Genovese, head of the Department of Statistics and a longtime collaborator of Wasserman. "He has made fundamental contributions to the theory of statistical inference. He has developed clever and effective methods for data analysis. He has advanced the state of the art in machine learning. And, he has made a real impact on critical questions in sciences such as biology and astronomy."

In application, Wasserman works in astrostatistics and develops models to estimate the equation for state of dark energy and analyze cosmic microwave background radiation. He is also working in the new area of topological data analysis, which works to find structure in data. In astronomy, this type of clustering helps to find filaments in the universe.

"It's wonderful that the National Academy of Sciences has recognized Larry for his many scientific contributions to the field of statistics," said Tom Mitchell, E. Fredkin University Professor and former head of the School of Computer Science's Machine Learning Department. "Beyond those specific scientific contributions, Larry has played a key role guiding the evolution of statistical machine learning at CMU and beyond. In the late 1990s he was one of the first faculty to engage in a research center that evolved into CMU's Machine Learning Department."

Mitchell continued, "Larry has become one of our most beloved teachers, and his 2004 textbook 'All of Statistics' is popular worldwide."

"Larry's contributions to machine learning are too numerous to list," said Geoff Gordon, interim head of the Machine Learning Department, "but he has made fundamental contributions to research areas such as statistical topology, nonparametric inference and high-dimensional graphical models, as well as application areas such as astrophysics."

Another project Wasserman is involved with is rebuilding the area of high-dimensional regression using distribution-free methods, which will use a solid foundation of realistic mathematical assumptions. This will permit scientists to assess the accuracy of their predictions from statistical models without being misled by erroneous assumptions.

"Larry is an endless source of good ideas. He is always making connections — often surprising ones — among disparate approaches and perspectives, combining them in imaginative and effective ways. And whatever he is working on, even the most abstract theory, he keeps in view the practical problems that his work will eventually be used to solve. Imagination, pragmatism and attention to the impacts of statistical methods are part of why Larry's work has had such reach and makes it especially fitting for him to become a member of the National Academy of Sciences," Genovese said.

In 1999, Wasserman received the Committee of Presidents of Statistical Societies Award, also referred to as the Nobel Prize of Statistics, and the Centre de Recherches Mathématiques and the Statistical Society of Canada's honored him with their 2002 Prize in Statistics. He is also a fellow of the American Statistical Association, Institute of Mathematical Statistics and the American Association for the Advancement of Science.

Wasserman is the 15th CMU faculty member to be elected to the NAS. In the Dietrich College and School of Computer Science, he joins NAS members John R. Anderson, the R.K. Mellon University Professor of Psychology and Computer Science; Manuel Blum, Bruce Nelson Professor of Computer Science; Dana Scott, professor emeritus of computer science; Marlene Behrmann, the Cowan Professor of Cognitive Neuroscience; and Stephen E. Fienberg, the Maurice Falk University Professor of Statistics and Social Science.

Wasserman joins 84 new members and 21 foreign associates from 14 countries elected into NAS this year.

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