Brian Denton
Stephen M Pollock Collegiate Professor of Industrial and Operations Engineering
Professor of Industrial and Operations Engineering
Professor of Urology
[email protected]

Available to mentor

Brian Denton
Professor
  • About
  • Qualifications
  • Center Memberships
  • Recent Publications
  • About

    Brian Denton is the Stephen M. Pollock Professor of Industrial and Operations Engineering (IOE) at the University of Michigan. His research interests are data-driven decision-making and optimization under uncertainty with applications to healthcare delivery, public health, scheduling, supply chain management, and other industrial systems. He has a cross-appointment in the School of Medicine. the Rogel Cancer Center, and Institute for Healthcare Policy and Innovation (IHPI) member at the University of Michigan. He was a visiting professor and fellow at Oxford University from September 1, 2023 to August 31, 2024. He served as department chair of IOE from 2018-2023. Before joining the University of Michigan, he worked at IBM, Mayo Clinic, and North Carolina State University. His honors and awards include the National Science Foundation Career Award, the INFORMS Daniel H. Wagner Prize, the Institute of Industrial Engineers Outstanding Publication Award, and the Canadian Operations Research Society Best Paper Award. He has served on editorial boards for Health Systems, IISE Transactions, Interfaces, Manufacturing & Service Operations Management, Medical Decision Making, Operations Research, Optimization in Engineering, and Production and Operations Management. He served as the founding Medical Decision-Making Department Editor for IISE Transactions on Healthcare Systems Engineering from 2008-2015. He has co-authored over 100 journal articles, conference proceedings, book chapters, and patents. He is an elected Fellow of INFORMS and IISE, past Chair of the INFORMS Health Applications Section, Secretary of INFORMS, and President of INFORMS.

    Qualifications
    • Ph.D.
      McMaster University, Hamilton
    Center Memberships
    • Center Member
      Rogel Cancer Center
    • Center Member
      Precision Health Initiative
    • Center Member
      Institute for Healthcare Policy and Innovation
    Recent Publications See All Publications
    • Preprint
      Who Goes Next? Optimizing the Allocation of Adherence-Improving Interventions
      Otero-Leon D, Lavieri M, Denton B, Sussman J, Hayward R. 2024 Jul 9; arXiv, DOI:10.48550/arxiv.2407.06898
    • Journal Article
      MP26-11 ADHERENCE TO POTASSIUM CITRATE AND CHANGES IN 24-HOUR URINE STONE RISK PARAMETERS
      Crivelli JJ, Oerline MK, Maalouf NM, Hsi RS, Krampe N, Smith KB, Best SL, Denton BT, Asplin JR, Shahinian VB, Hollingsworth JM. Journal of Urology, 2024 May; 211 (5S): e417 DOI:10.1097/01.ju.0001009408.66023.77.11
    • Journal Article
      Adherence to Potassium Citrate and Changes in 24-Hour Urine Stone Risk Parameters
      Crivelli JJ, Oerline MK, Hsi R, Smith K, Denton B, Asplin JR, Shahinian V, Hollingsworth JM. Journal of the American Society of Nephrology, 2023 Nov; 34 (11S): 807 - 807. DOI:10.1681/asn.20233411s1807b
    • Journal Article
      MP10-10 CAUSAL EFFECT ESTIMATION OF FOLLOW-UP 24-HOUR URINE TESTING ON ADHERENCE TO PREVENTIVE PHARMACOLOGIC THERAPY
      Smith K, Crivelli J, Yan P, Hsi R, Shen S, Shahinian V, Hollingsworth J, Denton B. Journal of Urology, 2023 Apr; 209 (Supplement 4): e118 DOI:10.1097/ju.0000000000003225.10
    • Journal Article
      Optimizing active surveillance for prostate cancer using partially observable Markov decision processes
      Li W, Denton BT, Morgan TM. European Journal of Operational Research, 2023 Feb 16; 305 (1): 386 - 399. DOI:10.1016/j.ejor.2022.05.043
    • Journal Article
      Frontiers of medical decision-making in the modern age of data analytics
      T. Denton B. IISE Transactions, 2023 Jan 1; 55 (1): 94 - 105. DOI:10.1080/24725854.2022.2092918
    • Proceeding / Abstract / Poster
      Updating Clinical Risk Stratification Models Using Rank-Based Compatibility: Approaches for Evaluating and Optimizing Clinician-Model Team Performance
      Ötles E, Denton BT, Wiens J. Proceedings of Machine Learning Research, 2023 Jan 1; 219: 529 - 547.
    • Journal Article
      Dynamic prediction of work status for workers with occupational injuries: assessing the value of longitudinal observations.
      Ötleş E, Seymour J, Wang H, Denton BT. J Am Med Inform Assoc, 2022 Oct 7; 29 (11): 1931 - 1940. DOI:10.1093/jamia/ocac130
      PMID: 36036358