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 and part of the Healthcare Systems Engineering group. 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

  • 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



The SMART Framework: Selection of Machine Learning Algorithms With ReplicaTions-A Case Study on the Microvascular Complications of Diabetes
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, 6.
Swan, B., Nambiar, S., Koutouan, P., Mayorga, M. E., Ivy, J., & Fransen, S. (2020), 2020 WINTER SIMULATION CONFERENCE (WSC).
Notice to comply: A systematic review of clinician compliance with guidelines surrounding acute hospital-based infection management
McKenzie, K. E., Mayorga, M. E., Miller, K. E., Singh, N., Arnold, R. C., & Romero-Brufau, S. (2020). [Review of , ]. AMERICAN JOURNAL OF INFECTION CONTROL, 48(8), 940–947.
Prepositioning disaster relief supplies using robust optimization
Velasquez, G. A., Mayorga, M. E., & Ozaltin, O. Y. (2020), IISE TRANSACTIONS.
The potential impact of the Affordable Care Act and Medicaid expansion on reducing colorectal cancer screening disparities in African American males
Powell, W., Frerichs, L., Townsley, R., Mayorga, M., Richmond, J., Corbie-Smith, G., … Lich, K. H. (2020), PLOS ONE, 15(1).
Workflow Differences Affect Data Accuracy in Oncologic EHRs: A First Step Toward Detangling the Diagnosis Data Babel
Diaz-Garelli, F., Strowd, R., Lawson, V. L., Mayorga, M. E., Wells, B. J., Lycan, T. W., Jr., & Topaloglu, U. (2020), JCO CLINICAL CANCER INFORMATICS, 4, 529–538.
An effective integer program for a general assembly line balancing problem with parallel workers and additional assignment restrictions
Pearce, B. W., Antani, K., Mears, L., Funk, K., Mayorga, M. E., & Kurz, M. E. (2019), Journal of Manufacturing Systems, 50, 180–192.
Colorectal cancer screening in newly insured Medicaid members: a review of concurrent federal and state policies
Meghan C. O'Leary, Lich, K. H., Gu, Y., Wheeler, S. B., Coronado, G. D., Bartelmann, S. E., … Davis, M. M. (2019). [Review of , ]. BMC HEALTH SERVICES RESEARCH, 19.

View all publications via NC State Libraries


  • Projecting Impacts of Colorectal Cancer Screening on Lifelong CRC Outcomes (Yr 4): Informing Decisions about Targeting Patients with CRC Screening and/or Testing
  • 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
  • RAPID: Health Systems and Patients Grapple with Medical Surge in the Era of COVID-19
  • Projecting Impacts of Colorectal Cancer Screening on Lifelong CRC Outcomes
  • ISN2: Interpretable and Automated Detection of Illicit Massage Businesses
  • RAPID: Collaborative Research: Defining a Performance Measurement Framework for Spontaneous Volunteer Management Systems in Post-Disaster Relief
Maria Mayorga