David S. Matteson
David Matteson is a statistician whose research applies statistical methods and machine learning to complex human and natural processes. He earned a PhD in statistics from the University of Chicago and a BSB in finance, mathematics, and statistics from the University of Minnesota, then joined Cornell's ILR School in 2011. He coauthored a multivariate change-point method in 2013 and the ecp R package article in 2014, then received an NSF CAREER Award in 2015. In 2022, he launched the open access journal Data Science in Science as its founding editor-in-chief and received two research honors. He became a Fellow of the Institute of Mathematical Statistics and the American Statistical Association in 2024; as of October 2026, he is a professor of statistics and data science at Cornell and director of NISS.
- Now at
- Cornell University and National Institute of Statistical Sciences
Timeline
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2011
Assistant professor at Cornell
In 2011, he joins Cornell's ILR School as assistant professor of social statistics, with a joint appointment in the Faculty of Computing and Information Science. His degrees are a PhD in statistics from the University of Chicago and a BSB in finance, mathematics, and statistics from the University of Minnesota.
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2013
A multivariate change-point method
In 2013, he coauthors with Nicholas A. James a nonparametric method that estimates the number and locations of change points in multivariate observations without assuming a particular form of distribution change.
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2014
The ecp R package
In 2014, he coauthors with Nicholas A. James an article introducing the ecp R package for nonparametric multiple change-point analysis of multivariate data.
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2015
An NSF CAREER Award
He receives a five-year National Science Foundation CAREER Award in 2015 for his ‘New Frontiers in Time Series Analysis’ proposal.
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March 2022
Launching Data Science in Science
In March 2022, he launches Data Science in Science, an open access journal about research at the intersection of science and data science. He serves as its founding editor-in-chief.
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2022
The Bowers Research Excellence Award
In 2022, he receives Cornell Bowers' inaugural Ann S. Bowers Research Excellence Award and the State University of New York's Chancellor's Awards for Excellence.
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2024
Fellow of two statistical societies
In 2024, he becomes a Fellow of the Institute of Mathematical Statistics and the American Statistical Association.
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As of October 2026
Professor at Cornell and NISS director
In July 2025, he gives opening remarks at NISS's Writing Workshop for Junior Researchers as its director. As of October 2026, he is a professor of statistics and data science at Cornell and director of the National Institute of Statistical Sciences. His research centers on statistical methods for modeling complex human and natural processes, with expertise in dynamic, spatial, functional, and network data science and machine learning.
Career
- Since 2011Cornell UniversityAssistant Professor of Social Statistics
- NowNational Institute of Statistical SciencesDirector
Education
Sources and credits
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- A Broader Perspective
- David S. Matteson
- A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data
- David Matteson | The ILR School
- Research and Application
- Matteson Launches 'Data Science in Science' Journal
- Kato named IMS fellow; Matteson named IMS and ASA fellow
- David S. Matteson | Department of Statistics & Data Science | Cornell Bowers
- Writing Workshop for Junior Researchers 2025 - Day 1 Online | National Institute of Statistical Sciences


