Gregory Cooper, MD, PhD

Research Interests: 
  • Application of decision theory, probability theory, Bayesian statistics, and artificial intelligence to biomedical informatics research problems 
  • Causal modeling and discovery from clinical and high-throughput molecular data
  • Computer-aided medical diagnosis and prediction
  • Machine-learning approaches to improving patient safety
  • Biosurveillance of disease outbreaks
Appointments and Positions: 
  • Professor of Biomedical Informatics
  • Secondary faculty appointments in Intelligent Systems, Computational and Systems Biology, Computer Science and Information Sciences
  • Vice Chair, Department of Biomedical Informatics

Arturo López Pineda, Ye Ye, Shyam Visweswaran, Gregory F. Cooper, Michael M. Wagner, Fuchiang Rich Tsui. Comparison of Machine Learning Classifiers for Influenza Detection from Emergency Department Free-text Reports. Journal of Biomedical Informatics. Available online 16 September 2015, ISSN 1532-0464. PMID: 26385375

Cooper GF, Bahar I, Becich MJ, Benos PV, Berg J, Espino JU, Jacobson RC, Kienholz M, Lee AV, Lu X, Scheines R, Center for Causal Discovery team. The Center for causal discovery of biomedical knowledge from Big Data. Journal of the American Medical Informatics Association 2015 Jul 2. pii: ocv059. doi: 10.1093/jamia/ocv059. [Epub ahead of print]  PMID: 26138794

Cooper GF, Villamarin R, Tsui FC, Millett N, Espino J, Wagner MM. A method for detecting and characterizing outbreaks of infectious disease from clinical reports. Journal of Biomedical Informatics (2014).   Aug 30. pii: S1532-0464(14)00192-0. doi: 10.1016/j.jbi.2014.08.011. [Epub ahead of print] PMID:25181466 PMC4441330

Jiang X, Cai B, Xue D, Lu X, Cooper GF, Neapolitan RE. A comparative analysis of methods for predicting clinical outcomes using high-dimensional genomic datasets. Journal of the American Medical Informatics Association (2014). Oct;21(e2):e312-9. doi: 10.1136/amiajnl-2013-002358. Epub 2014 Apr 15.  PMID: 24737607 PMC4173174

David J. Montefusco, Lujia Chen, Nabil Matmati, Songjian Lu, Benjamin Newcomb, Gregory F. Cooper, Yusuf A. Hannun, and Xinghua Lu.  Science Signaling, 6(299): p. rs14 [DOI: 10.1126/scisignal.2004515];6/299/rs14

Jiang X, Cooper GF. Modeling the Temporal Trend of the Daily Severity of an Outbreak using Bayesian Networks. In: Holmes DE, Jain LC, editors. Innovations in Bayesian Networks of Studies in Computational Intelligence. NY: Springer-Verlag, 2008.