Maria Mayorga

University Faculty Scholar and Professor of Personalized Medicine

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



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.
Cross-sector decision landscape in response to COVID-19: A qualitative network mapping analysis of North Carolina decision-makers
Biddell, C. B. B., Johnson, K. T. T., Patel, M. D. D., Smith, R. L. L., Hecht, H. K. K., Swann, J. L. L., … Lich, K. H. (2022), FRONTIERS IN PUBLIC HEALTH, 10.
Shi, L., Mayorga, M., Su, D., Li, Y., Martin, E., & Zhang, D. (2022), ETHNICITY & DISEASE, 32(2), 75–80.
Interpretable models for the automated detection of human trafficking in illicit massage businesses
Tobey, M., Li, R., Ozaltin, O. Y., Mayorga, M. E., & Caltagirone, S. (2022, August 28), IISE TRANSACTIONS, Vol. 8.
Organizational decision-making during COVID-19: A qualitative analysis of the organizational decision-making system in the United States during COVID-19
Johnson, K., Biddell, C. B. B., Hecht, H. K. K., Lich, K. H. H., Swann, J., Delamater, P., … Patel, M. D. D. (2022, November 18), JOURNAL OF CONTINGENCIES AND CRISIS MANAGEMENT, Vol. 11.
The SMART Framework: Selection of Machine Learning Algorithms With ReplicaTions-A Case Study on the Microvascular Complications of Diabetes
Swan, B. P., Mayorga, M. E., & Ivy, J. S. (2022), IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 26(2), 809–817.
When History and Heterogeneity Matter: A Tutorial on the Impact of Markov Model Specifications in the Context of Colorectal Cancer Screening
Townsley, R. M., Koutouan, P. R., Mayorga, M. E., Mills, S. D., Davis, M. M., & Hasmiller Lich, K. (2022, May 11), MEDICAL DECISION MAKING, Vol. 5.
Assigning spontaneous volunteers to relief efforts under uncertainty in task demand and volunteer availability
Paret, K. E., Mayorga, M. E., & Lodree, E. J. (2021), OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 99.
Association of Simulated COVID-19 Vaccination and Nonpharmaceutical Interventions With Infections, Hospitalizations, and Mortality
Patel, M. D., Rosenstrom, E., Ivy, J. S., Mayorga, M. E., Keskinocak, P., Boyce, R. M., … Swann, J. L. (2021), JAMA NETWORK OPEN, 4(6).
To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning
Ju, S., Kim, Y. J., Ausin, M. S., Mayorga, M. E., & Chi, M. (2021), 2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), pp. 1640–1646.

View all publications via NC State Libraries


  • Projecting impacts of colorectal cancer screening on lifelong CRC outcomes (Yr 5): Modeling the impact of community health center intervention
  • Detection of Illicit Massage Businesses through Spatial and Socio-Demographic Data Enrichment
  • Integrated Systems Model to Inform State and Local Level Planning for the COVID-19 Pandemic (CovSim)
  • Projecting Impacts of Colorectal Cancer Screening on Lifelong CRC Outcomes (Yr 4): Informing Decisions about Targeting Patients with CRC Screening and/or Testing
  • Collaborative Research: D-ISN: Unintended Consequences of Law Enforcement Disruptions to Illicit Drug Networks
  • Optimizing Population Health Outcomes in Diabetic Retinopathy Through Personalized and Scalable Screening Strategies
  • Integrated Systems Model to Inform State and Local Level Planning for the COVID-19 Pandemic
  • Framework and Tools for Modeling Intervention Impact
  • Collaborative Research RAPID: Matriculation and Well-Being Under Emergent Events (MWEE): Using Data to Empower Campus Communities in Times of Crisis
  • A Realistic and Nationally Representative Model to Project the Longterm Impacts of Colorectal Cancer Screening on CRC Outcomes
Maria Mayorga