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

Villamarin R, Cooper G, Wagner M, Tsui FC, Espino JU. A method for estimating from thermometer sales the incidence of diseases that are symptomatically similar to influenza. Journal of Biomedical Informatics 46 (2013) 444-457. PMID: 23501015

Hauskrecht M, Batal I, Valko M, Visweswaran S, Cooper GF, Clermont G. Outlier-detection for patient monitoring and alerting. Journal of Biomedical Informatics 46 (2013) 47-55. PMID: 22944172. PMCID: PMC3567774

Ferreira A, Cooper GF, Visweswaran S. Decision path models for patient-specific modeling of patient outcomes.  In:Proceedings of the Annual Symposium of the American Medical Informatics Association (2013) 413-21. PMID: 24551347. PMCID: PMC3900188

Montefusco DJ, Chen L, Matmati N, Lu S, Newcomb B, Cooper GF, Hannun YA, Lu X. Distinct signaling roles of ceramide species in yeast revealed through systematic perturbation and systems biology analyses. Science Signaling 6 (299), rs14. [DOI: 10.1126/scisignal.2004515]  (2013) PMID: 24170935 PMCID: PMC3974757

Batal I, Cooper G, Hauskrecht M. A Bayesian scoring technique for mining predictive and non-spurious rules. Machine Learning and Knowledge Discovery in Databases 7524 (2012) 260-276.

Hennings-Yeomans PH, Cooper GF. Improving the prediction of clinical outcomes from genomic data using multiresolution analysis. IEEE/ACM Transactions on Computational Biology and Bioinformatics 9 (2012) 1442-1450. PMID: 22641708

Sverchkov Y, Visweswaran S, Clermont G, Hauskrecht M, Cooper GF. A multivariate probabilistic method for comparing two clinical datasets. In: Proceedings of the ACM International Health Informatics Symposium (2012) 795-800.

Jiang X, Cooper GF.  A Bayesian Network Model for Spatial Event Surveillance.  Accepted by International Journal of Approximate Reasoning January 2009 (to appear).

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.

Current Research Projects and Collaborations

Dr. Cooper’s past and current research involves the application of decision theory, probability theory, machine learning, Bayesian statistics, and artificial intelligence to biomedical informatics research problems. He has been investigating those topic areas for the past 25 years and has published over 140 peer-reviewed papers. He is currently involved in the following research projects: