Gregory F. Cooper
Gregory F. Cooper develops Bayesian and causal methods, including shared research on learning probabilistic networks and detecting disease outbreaks. Cooper earned a computer science degree from MIT, a doctorate in medical information sciences and a medical degree from Stanford. His research connects causal modeling, Bayesian statistics and machine learning with medicine. Cooper, Denver Dash, John Levander, Weng-Keen Wong, William Hogan and Michael Wagner published research on Bayesian biosurveillance at UAI. The original paper examined modeling and inference for spatial and temporal outbreak patterns. The work was proof of concept.
- Now at
- University of Pittsburgh
- Works
- 323
- Citations
- 17,842
- h-index
- 46
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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As of October 2026
Computing, information science and medicine
Cooper earned a computer science degree from MIT, a doctorate in medical information sciences and a medical degree from Stanford. His research connects causal modeling, Bayesian statistics and machine learning with medicine.
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1992
Learning networks from data
Cooper and Edward Herskovits published a Bayesian method for inducing probabilistic networks from data. The original journal abstract describes constructing belief networks, handling missing data and hidden variables, and combining inference from multiple networks.
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2000
Causal discovery under selection
Cooper’s UAI paper studied causal modeling when a sample is selected non-randomly. It describes combining selected data with prior beliefs about the sampling process. The method addresses selection in causal learning.
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2004
Bayesian disease surveillance
Cooper, Denver Dash, John Levander, Weng-Keen Wong, William Hogan and Michael Wagner published research on Bayesian biosurveillance at UAI. The original paper examined modeling and inference for spatial and temporal outbreak patterns. The work was proof of concept.
Sources and credits
Photo: sci.pitt.edu; Gregory Cooper | School of Computing and Information; creator not stated. License: Not stated by source. Source: sci.pitt.edu. Cropped to a square and resized. Ask us to remove or replace this photo.