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Oguzhan Alagoz

Oguzhan Alagoz

Procter & Gamble Bascom Professor

Oguzhan Alagoz is Procter & Gamble Bascom Professor of Industrial and Systems Engineering and Population Health Sciences at the University of Wisconsin-Madison. His research interests include stochastic optimization, medical decision making, completely and partially observable Markov decision processes, simulation, risk-prediction modeling, and health technology assessment. He served as a member of ISPOR-SMDM Modeling Good Research Practices Task Force which developed recommendations for good modeling practices in state-transition modeling for the evaluation of health care decisions in 2012. He is also co-leading the University of Wisconsin Breast Cancer Simulation Model, a member of the National Cancer Institute’s Cancer Intervention and Surveillance Modeling Network, that was used to inform national breast cancer screening guidelines in the US in 2016 and 2023. He is currently serving as an associate editor for Operations Research. He previously served as the editor-in-chief of IISE Transactions on Healthcare Systems Engineering, the flagship journal of IISE in the area of healthcare systems engineering and on the editorial board of Medical Decision Making and IISE Transactions. He is an elected fellow of IISE. He published over 110 refereed journal articles throughout his career. Furthermore, he has received various awards including a CAREER award from National Science Foundation (NSF), outstanding young industrial engineer in education award from IISE, Dantzig Dissertation Honorable Mention Award from INFORMS, 2nd place award from INFORMS Junior Faculty Interest Group best paper competition, best paper award from INFORMS Service Science Section, best podium presentation award from ISPOR, and best poster award from UW Carbone Comprehensive Cancer Center. He has been the principal investigator and co-investigator on grants totaling over $7 million, with an average annual research funding of approximately $500K, primarily funded by NIH and NSF.

Department

Industrial & Systems Engineering

Contact

3242, Mechanical Engineering Bldg
1513 University Ave
Madison, WI

  • PhD 2004, Univ. of Pittsburgh
  • MS 2000, Middle East Technical University
  • BS 1997, Bilkent University

  • operations research
  • stochastic optimization
  • medical decision making
  • completely and partially observable Markov decision processes
  • simulation
  • scheduling
  • health-care applications
  • health-technology assessment

  • 2021 Institute of Industrial and Systems Engineers (IISE), Fellow
  • 2021 College of Engineering, University of Wisconsin-Madison, Ragnar E. Onstad Service to Society Award
  • 2017 Univ. of Wisconsin-Madison, Proctor & Gamble Bascom Professorship
  • 2013 Association for Professionals in Infection Control and Epidemiology (APIC), Blue Ribbon Abstract Award
  • 2012 ISPOR-SMDM , Member, ISPOR-SMDM Modeling Good Research Practices Joint Task Force
  • 2011 INFORMS , INFORMS Pierskalla Best Paper in Healthcare Competition, finalist (Nominated)
  • 2011 Institute of Industrial Engineers (IIE) , Outstanding Young IE in Education Award
  • 2009 National Science Foundation, CAREER Award
  • 2009 INFORMS , INFORMS Service Science Section Best Paper Award
  • 2008 INFORMS , INFORMS Junior Faculty Interest Group (JFIG) best paper competition, 2nd place
  • 2008 UW Carbone Comprehensive Cancer Center (UWCCC), Paul Carbone Prize for Best Poster in Cancer Control
  • 2005 INFORMS, INFORMS George B. Dantzig Dissertation Award, Honorable Mention
  • 2004 Department of Industrial Engineering, Univ. of Pittsburgh, Outstanding Research Assistant

  • Caswell-Jin, J. L., Sun, L. P., Munoz, D., Lu, Y., Li, Y., Huang, H., Hampton, J. M., Song, J., Jayasekera, J., Schechter, C., & others, (2024). Analysis of Breast Cancer Mortality in the US—1975 to 2019. JAMA, 331(3), 233--241.
  • Trentham-Dietz, A., Chapman, C. H., Jayasekera, J., Lowry, K. P., Heckman-Stoddard, B. M., Hampton, J. M., Caswell-Jin, J. L., Gangnon, R. E., Lu, Y., Huang, H., & others, (2024). Collaborative modeling to compare different breast cancer screening strategies: a decision analysis for the US Preventive Services Task Force. JAMA.
  • Alagoz, O., Zhang, Y., Arroyo, N., Fernandes-Taylor, S., Yang, D., Krebsbach, C., Venkatesh, M., Hsiao, V., Davies, L., & Francis, D. O. (2024). Modeling Thyroid Cancer Epidemiology in the United States Using Papillary Thyroid Carcinoma Microsimulation Model. Value in Health, 27(3), 367--375.
  • Alvarez Avenda~no, Sebastian A,, Alagoz, O., Oruongo, J., & Zayas-Cab'an, Gabriel, (2024). Optimizing Patient Transitions to Skilled Nursing Facilities. IISE Transactions(just-accepted), 1--35.
  • Alagoz, O., Fendrick, A Mark,, Vahdat, V., Estes, C., Ozbay, A. B., Ellis, T., Limburg, P., & Brooks, D. (2024). Tu1019 IMPACT OF RACIAL DISPARITIES IN THE QUALITY OF COLONOSCOPY SCREENING ON COLORECTAL CANCER INCIDENCE AND MORTALITY: A SIMULATION MODELING ANALYSIS. Gastroenterology, 166(5), S--1222.
  • Lu, Y., Hajjar, A., Cryns, V. L., Trentham-Dietz, A., Gangnon, R. E., Heckman-Stoddard, B. M., & Alagoz, O. (2023). Breast cancer risk for women with diabetes and the impact of metformin: A meta-analysis. Cancer Medicine, 12(10), 11703--11718.
  • Vahdat, V., Alagoz, O., Chen, J. V., Saoud, L., Borah, B. J., & Limburg, P. J. (2023). Calibration and validation of the colorectal cancer and adenoma incidence and mortality (CRC-AIM) microsimulation model using deep neural networks. Medical Decision Making, 43(6), 719--736.
  • Alagoz, O., Arrick, B., Speers, C., Ward, M., King, T., Bennett, J., Ozbay, A., & Le, Q. (2023). EE269 Cost-Effectiveness of Profile Omission of Local Adjuvant Radiotherapy (POLAR), A Novel Genomic Signature, after Breast Conserving Surgery for Women with Invasive Early-Stage Breast Cancer (ESBC). Value in Health, 26(6), S108.
  • Alagoz, O., Winge-Main, A., Srinivasan, S., Dyer, M., Wolf, R., Thybo, S., May, JR,, Moshyk, A., & Kurt, M. (2023). MSR12 Analysis of Long-Term Survivorship (LTS) Rates for Stage 2B/2C Melanoma Using Published Real-World Data (RWD) and Data From Randomized Controlled Trials (RCTS). Value in Health, 26(12), S395.
  • Hajjar, A., & Alagoz, O. (2023). Personalized disease screening decisions considering a chronic condition. Management Science, 69(1), 260--282.

  • I SY E 890 - Pre-Dissertator's Research (Spring 2025)
  • I SY E 990 - Research and Thesis (Spring 2025)
  • I SY E 517 - Decision Making in Health Care (Fall 2024)
  • I SY E 890 - Pre-Dissertator's Research (Fall 2024)
  • I SY E 990 - Research and Thesis (Fall 2024)
  • I SY E 890 - Pre-Dissertator's Research (Summer 2024)
  • I SY E 990 - Research and Thesis (Summer 2024)
  • I SY E 890 - Pre-Dissertator's Research (Spring 2024)
  • I SY E 990 - Research and Thesis (Spring 2024)
  • I SY E 517 - Decision Making in Health Care (Fall 2023)
  • I SY E 890 - Pre-Dissertator's Research (Fall 2023)
  • I SY E 699 - Advanced Independent Study (Summer 2023)
  • I SY E 790 - Master's Research and Thesis (Summer 2023)
  • I SY E 890 - Pre-Dissertator's Research (Summer 2023)