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David S. Matteson

Professor, Statistics and Data Science
Director of the National Institute of Statistical Sciences
A color photo of David Matteson

About

David S. Matteson is a professor of statistics and data science at Cornell University and director of the National Institute of Statistical Sciences. He is also director of graduate studies in data science, and founding executive committee member for the Cornell Center for Data Science for Enterprise and Society. His research centers on statistical methods for modeling complex human and natural processes and systems, with expertise in dynamic, spatial, functional, and network data science and machine learning. He received a CAREER Award from the National Science Foundation, the Chancellor’s Award for Scholarship and Creative Activities from the State University of New York, the inaugural Ann S. Bowers Research Excellence Award, Faculty Research Awards from the Xerox/PARC Foundation and LinkedIn, and is a Fellow of the American Statistical Association (ASA) and Institute of Mathematical Statistics (IMS). He has served as lead PI and director for several National Science Foundation-funded collaborative institutes, and he founded and serves as editor-in-chief for the new open access ASA journal Data Science in Science.

Research Website
Matteson's Website
Research areas
Data Science
Artificial Intelligence (AI)
Asymptotic Statistics
Bayesian Analysis
Network Science
Econometrics
Functional Data Analysis
High-dimensional Statistics
Machine Learning
Spatial Analysis or Spatial Statistics
Stochastic Processes
Time Series Analysis
Contact
Matteson <at> cornell <dot> edu
Location
Ithaca
Office
Computing and Information Science Building 328
Profile Type
Faculty (Department)
Statistics & Data Science
Faculty (Field)
Computer Science

News + Stories featuring David Matteson

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Four healthcare professionals in green gowns perform surgery on a patient.
New analysis helps discern benign from malignant thyroid growths
  • Real-World Impact
Matteson and colleagues use AI to better understand nanoparticles
Matteson and colleagues use AI to better understand nanoparticles
  • Research + Innovation
Huts in a small village
‘Structural poverty’ maps could steer help to world’s neediest
  • Real-World Impact
View All Stories
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