Location
2893 IOE
Phone
Primary Website
Biography
Personal Pronouns
He/Him
Additional Title(s)
- Stephen M. Pollock Collegiate Professor of Industrial and Operations Engineering
- Professor of Urology
Professor Denton has co-authored over 100 journal articles, conference proceedings, book chapters, and patents. Previously, he was a Professor at North Carolina State University, a Senior Associate Consultant and Professor at Mayo Clinic, and a Senior Engineer at IBM. Some of his honors and awards include the Canadian Operations Research Society Best Student Paper Award (2000), the Institute of Industrial and System Engineers (IISE) Outstanding Publication Award (2005, 2020), the INFORMS Daniel H. Wagner Prize (2005), the National Science Foundation Career Award (2009), the INFORMS Service Section Best Paper Prize (2010), the Distinguished Mentor Award from the Michigan Institute for Clinical and Health Research (2018), and the Distinguished Educator Award from the Industrial Engineering and Operations Management Society (2017). He is an elected fellow of INFORMS and IISE. Past leadership positions include being Department Chair, Chair of the INFORMS Health Applications Section, Secretary of INFORMS, and President of INFORMS.
Education
- Ph.D., McMaster University, Canada, 2001, Management Science
- M.Sc., York University, Canada, 1996, Physics
- B.Sc., McMaster University, Canada, 1994, Chemistry and Physics
Research Interests
Brian Denton’s research interests are data analytics, data-driven optimization, sequential decision-making, and artificial intelligence, with applications to healthcare, manufacturing, and operations management. He is a Professor in the Department of Urology (by courtesy) at Michigan Medicine, a member of the Institute for Healthcare Policy and Innovation at the University of Michigan, and a member of the Cancer Center at the Michigan School of Medicine. His research has been funded by the National Science Foundation, the Agency for Healthcare Research and Quality, the National Institutes of Health, the U.S. Department of Veterans Affairs, and industry research contracts.
Professional Service
- American Association for the Advancement of Science (AAAS)
- Institute of Industrial and Systems Engineers (IISE)
- Institute for Operations Research and the Management Sciences (INFORMS)
Awards
- Fellow, IISE, 2022
- Advanced Analytics Award, Third Place, INFORMS, 2021
- Fellow, INFORMS, 2019
- Distinguished Research Mentor Award, Michigan Institute for Clinical and Translational Research (MICHR), 2018
- Graduate Course Instructor of the Year, INFORMS Student Chapter, 2017
- SPRINT Data Analysis Challenge, Third Place, New England Journal of Medicine, 2017
- Best Paper Prize, Second Place, INFORMS Public Sector Operations Research Section, 2017
- Distinguished Educator Award, Industrial Engineering and Operations Management Society, 2016
- Distinguished Professor Award, University of Michigan College of Engineering, 2016
- University of Michigan Industrial and Operations Engineering Department Award, 2015
- Jon R. and Beverly S. Holt Award for Teaching Excellence, University of Michigan
- INFORMS Public Sector Operations Research Section Best Paper Prize, Honorable Mention, 2012
- INFORMS Daniel H. Wagner Prize for Excellence in Operations Research Practice, Finalist, 2010
- INFORMS Service Section Best Paper Award, First Prize, 2010
- 2009 National Science Foundation CAREER Award
- 2005 INFORMS Daniel H. Wagner Prize for Excellence in Operations Research Practice
Publications
- Otles, E., Seymour, J., Wang, H, Denton, B.T., “Dynamic Prediction of Work Status for Workers with Occupational Injuries: Assessing the Value of Longitudinal Observations,” Journal of the American Medical Informatics Association, 29(11):1931-1940, 2023.
- Zhang, Z., Denton, B.T., Morgan, T., “Optimization of Active Surveillance Strategies for Heterogeneous Patients with Prostate Cancer Journal,” Production and Operations Management, 31(11), 4021-4037, 2022.
- Denton, B.T., “Frontiers of Medical Decision Making in the Modern Age of Data Analytics,” IISE Transactions, 55(1), 94–105, 2022.
- Steimle, L., Kauffman, D., Denton, B.T., “Multi-model Markov Decision Processes: A New Method for Mitigating Parameter Ambiguity,’‘ IISE Transactions, 53(10):1124-39, 2021
- Merdan, S., Barnett, C., Denton, B.T., Montie, J., Miller, D., “Data Analytics for Optimal Detection of Metastatic Prostate Cancer,” Operations Research, 69 (3), 774-794, 2021
- Zheng, Z., Denton, B.T., Xie, X., “Branch-and-Price for Stochastic Bin Packing,” INFORMS Journal on Computing, 10(4), 277-293, 2019.
- Berg, B., Denton, B.T., “Fast Online Approximations for Scheduling of Outpatient Procedure Centers,” INFORMS Journal on Computing, 29(4), 631-644, 2017
- Barnett, C., Auffenberg, G., Cheng, Z., Yang, F., Wang, J., Wei, J., Miller, D., Montie, Mamawala, M., Denton, B.T., “Optimizing Active Surveillance Strategies to Balance Competing Goals of Early Detection of Grade Progression with Minimizing Harm from Biopsies, ” Cancer, 124(4), 698-705, 2017.
- Zhang, J., Denton, B.T., Balasubramanian, H., Inman, B., Shah, N., “Optimization of Prostate Biopsy Decisions,” Manufacturing and Service Operations Management, 14(4): 529-547, 2012.
- Denton, B.T., Miller, A., Balasubramanian, H., Huschka, T. “Optimal Allocation of Surgery Blocks to Operating Rooms Under Uncertainty,” Operations Research, 58(4): 802-816, 2010.