Maria Mayorga

Goodnight Distinguished Chair in Operations Research and Director of Operation Research

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 Interim Director 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.


Ph.D.Doctorate on Philosophy in Industrial EngineeringUniversity of California at Berkeley2006
MSMaster of ScienceUniversity of California at Berkeley2002
BSBachelor of ScienceGeorge Washington University2000

Honors and Awards

  • 2022 | Provost’s Faculty Fellow Award, Office for Faculty Excellence and the Office of the Executive Vice Chancellor and Provost
  • 2022 | Fellow of the Institute of Industrial and Systems Engineering
  • 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



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.
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).
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).
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.
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.
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).
Introduction to the Special Issue on Analytical Methods for Detecting, Disrupting, and Dismantling Illicit Operations
Sharkey, T. C., Keskin, B. B., Konrad, R., & Mayorga, M. E. (2023, October 18), IISE TRANSACTIONS, Vol. 10.
Quantifying association and disparities between diabetes complications and COVID-19 outcomes: A retrospective study using electronic health records
Paramita, N. L. P. S. P., Agor, J. K., Mayorga, M. E., Ivy, J. S., Miller, K. E., & Ozaltin, O. Y. (2023), PLOS ONE, 18(9).
Routing and staffing in emergency departments: A multiclass queueing model with workload dependent service times
Nambiar, S., Mayorga, M. E., & Liu, Y. (2023), IISE TRANSACTIONS ON HEALTHCARE SYSTEMS ENGINEERING, 13(1), 46–61.
Assessing the impact of multicomponent interventions on colorectal cancer screening through simulation: What would it take to reach national screening targets in North Carolina
Hicklin, K., Meghan C. O'Leary, Nambiar, S., Mayorga, M. E., Wheeler, S. B., Davis, M. M., … Lich, K. H. (2022), PREVENTIVE MEDICINE, 162.

View all publications via NC State Libraries


  • Collaborative Research:Unintended Consequences of Law Enforcement Disruptions to Illicit Drug Networks
  • Optimizing Population Health Outcomes in Diabetic Retinopathy Through Personalized and Scalable Screening Strategies
  • Using Simulation to Project Long-Term CRC Outcomes Attributable to Clinic-Based Screening Interventions
  • Detection of Illicit Massage Businesses through Spatial and Socio-Demographic Data Enrichment
  • ISN2: Interpretable and Automated Detection of Illicit Online Commercial Enterprises
  • Integrated Systems Model to Inform State and Local Level Planning for the COVID-19 Pandemic (CovSim)
  • Using simulation to project long-term CRC outcomes attributable to clinic-based screening interventions
  • Using Simulation to Project Long-Term CRC Outcomes Attributable to Clinic-Based Screening Interventions
  • Collaborative Research RAPID: Matriculation and Well-Being Under Emergent Events (MWEE): Using Data to Empower Campus Communities in Times of Crisis
  • RAPID: Documenting Hospital Surge Operations in Responding to the COVID-19 Pandemic
Maria Mayorga