Maria Mayorga
Goodnight Distinguished Chair in Operations Research
- Phone: 919.513.1690
- Email: memayorg@ncsu.edu
- Office: 4327 Fitts-Woolard Hall
- Website: https://mayorga.wordpress.ncsu.edu
Maria Mayorga joined North Carolina State University in August 2013 as a Chancellor’s Faculty Excellence Program cluster hire in Personalized Medicine. She is a professor in the Edward P. Fitts Department of Industrial and Systems Engineering, part of the Healthcare Systems Engineering group and serves as the Goodnight Distinguished Chair of the Graduate Program in Operations Research. Her goal is to address fundamental research barriers in moving from estimates of efficacy to estimates of the effectiveness of interventions or policies by explicitly considering individual patient preferences when the underlying patient population is heterogeneous. She is also interested in optimally allocating resources in Emergency Medical Service systems. To achieve these goals Mayorga will create analytical models of health systems that incorporate patient-level data. She uses techniques such as simulation, dynamic programming, applied probability, queuing theory and mathematical programming. She employs multiple sources of secondary data and a mixed methods approach to enable predictions of health outcomes at levels for which it is difficult to conduct studies in practice. This research is inherently interdisciplinary and is thus facilitated via collaborations with health services researchers such as epidemiologists, economists, and medical doctors.
Prior to joining the NC State faculty, she was on the faculty at Clemson University, Department of Industrial Engineering for seven years. She has authored over 40 publications in archival journals and refereed proceedings. Her research has been supported by NIH and NSF, among others. She received the distinguished National Science Foundation CAREER Award for her work to incorporate patient choice into predictive models of health outcomes.
Research Interests
Maria Mayorga’s research interests include Modeling Marketing and Operations Interface, Analysis of Supply Chain Models, Application of Stochastic Optimization in Production and Service Systems, Analysis of Queuing Systems.
Education
Degree | Program | School | Year |
---|---|---|---|
Ph.D. | Doctorate on Philosophy in Industrial Engineering | University of California at Berkeley | 2006 |
MS | Master of Science | University of California at Berkeley | 2002 |
BS | Bachelor of Science | George Washington University | 2000 |
Honors and Awards
- 2019 | Women & Minority Engineering Most Supportive Faculty Award, Women & Minority Engineering Program at NC State
- 2019 | C.A. Anderson Outstanding Faculty Award, NC State ISE Department
- 2019 | 2018-2019 University Faculty Scholar
- 2017 | Honored as Professor of Personalized Medicine with NC State
Discover more about Maria Mayorga
- Health as a System: Beyond the Individual
- New Computational Tools to Help Target Sex, Labor Trafficking Operations
- How COVID-19 Will Affect North Carolina in the Months Ahead
- Four-University Study Focuses on Student Well-Being During the Pandemic
- Research Helps Volunteers Do the Most Good After a Disaster
- Mayorga wins the Night at the C.A. Anderson Awards
- Outreach and Engagement
- Mayorga Named University Faculty Scholar
- ISE Hosts Students Conference
- Faculty Profile: Maria Mayorga
- Improving NC Healthcare
- Improving NC’s Healthcare Systems
- ISE is the Model of Health
- ISE Looks to the Future
Publications
- Estimating the long-term health impact and program cost-effectiveness of providing direct screening services to low-income, medically underserved patients through the Colorectal Cancer Control Program (CRCCP)
- Meghan C. O'Leary, Koutouan, P. R., Mayorga, M. E., Sharma, K. P., Degroff, A., Richardson, L. C., & Lich, K. H. (2025, May 29), CANCER CAUSES & CONTROL, Vol. 5. https://doi.org/10.1007/s10552-025-01994-5
- Optimizing Masks and Random Screening Test Usage within K-12 Schools
- Zhang, Y., Mayorga, M. E., Ivy, J. S., & Swann, J. L. (2025), MDM POLICY & PRACTICE, 10(1). https://doi.org/10.1177/23814683241312225
- COVSIM: A stochastic agent-based COVID-19 SIMulation model for North Carolina
- Rosenstrom, E. T., Ivy, J. S., Mayorga, M. E., & Swann, J. L. (2024), EPIDEMICS, 46. https://doi.org/10.1016/j.epidem.2024.100752
- INCORPORATING FACE MASK USAGE IN AGENT-BASED MODELS USING PERSONAL BELIEFS AND PERCEPTIONS: AN APPLICATION OF THE HEALTH BELIEF MODEL
- Rodriguez-Cartes, S. A., Mayorga, M. E., Ozaltin, O. Y., & Swann, J. L. (2024), 2024 WINTER SIMULATION CONFERENCE, WSC, pp. 1071–1082. https://doi.org/10.1109/WSC63780.2024.10838827
- METAMODEL OF A SIMULATION MODEL OF COLORECTAL CANCER WITH DIVERSE CLINIC POPULATIONS AND INTERVENTION SCENARIOS
- Stanfield, A., Mayorga, M. E., Meghan C. O'Leary, & Lich, K. H. (2024), 2024 WINTER SIMULATION CONFERENCE, WSC, pp. 1118–1129. https://doi.org/10.1109/WSC63780.2024.10838803
- Potential impact of annual vaccination with reformulated COVID-19 vaccines: Lessons from the US COVID-19 scenario modeling hub
- Jung, S.-mok, Loo, S. L., Howerton, E., Contamin, L., Smith, C. P., Carcelen, E. C., … Lessler, J. (2024), PLOS MEDICINE, 21(4). https://doi.org/10.1371/journal.pmed.1004387
- Agent-Based Simulation of Spontaneous Volunteer Convergence to Improve Disaster Planning
- Paret, K., Rodriguez, S. A., Mayorga, M. E., Velotti, L., & Lodree, E. J. (2023), NATURAL HAZARDS REVIEW, 24(2). https://doi.org/10.1061/NHREFO.NHENG-1659
- Detecting Human Trafficking: Automated Classification of Online Customer Reviews of Massage Businesses
- Li, R., Tobey, M., Mayorga, M. E., Caltagirone, S., & Ozaltin, O. Y. (2023, February 22), M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT, Vol. 2. https://doi.org/10.1287/msom.2023.1196
- Engaging stakeholders in the use of an interactive simulation tool to support decision-making about the implementation of colorectal cancer screening interventions
- Meghan. C. C. O'Leary, Lich, K. H., Mayorga, M. E. E., Hicklin, K., Davis, M. M. M., Brenner, A. T. T., … Wheeler, S. B. B. (2023, May 6), CANCER CAUSES & CONTROL, Vol. 5. https://doi.org/10.1007/s10552-023-01692-0
- Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty
- Howerton, E., Contamin, L., Mullany, L. C., Qin, M., Reich, N. G., Bents, S., … Lessler, J. (2023), NATURE COMMUNICATIONS, 14(1). https://doi.org/10.1038/s41467-023-42680-x
