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Paul Brooks

Paul Brooks

Paul Brooks.

Charles Jones Chair in Data Science and Analytics, Professor

Email: jpbrooks@ou.edu
Office: Carson Engineering Center 219B
Google Scholar

Ph.D., Industrial Engineering
Georgia Institute of Technology
M.S., Operations Research
Georgia Institute of Technology
B.S., Mathematics, B.A., Physics
University of Virginia

About

Paul Brooks's research focuses on developing mathematical optimization methods to solve fundamental challenges in data science, interpretable artificial intelligence, and automated scientific discovery. Applications range from machine learning frameworks for complex high-dimensional datasets, to multi-omic data integration for predicting maternal health outcomes, to public sector operations research models for judge and court scheduling. Dedicated to bridging rigorous optimization methodology with real-world health and engineering impact, his lab is always looking for talented students and multidisciplinary collaborators to join these efforts.

Research Domains

  • Optimization and machine learning
  • Interpretable AI and automated scientific discovery
  • Biomedical and health analytics
  • Public sector decision support

ISE Impact Domains

Experience and Distinctions

  • Senior Editor, INFORMS Journal on Data Science
  • Associate Editor, Annals of Operations Research
  • Senior Member, INFORMS
  • Top 2% Scientists, Operations Research
  • INFORMS Data Mining Society Best Paper Award
  • Past Chair, INFORMS Data Mining Society
  • Former Area Editor, INFORMS Journal on Computing, Applications in Biology, Medicine, and Healthcare