Maria Mayorga

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.


Ph.D. 2006

Doctorate on Philosophy in Industrial Engineering

University of California at Berkeley

MS 2002

Master of Science

University of California at Berkeley

BS 2000

Bachelor of Science

George Washington University

Research Description

Modeling Marketing and Operations Interface, Analysis of Supply Chain Models, Application of Stochastic Optimization in Production and Service Systems, Analysis of Queuing Systems.


The optimal assignment of spontaneous volunteers
Mayorga, M. E., Lodree, E. J., & Wolczynski, J. (2017), Journal of the Operational Research Society, 68(9), 1106-1116.
Changes in cigarette smoking initiation, cessation, and relapse among US adults: A comparison of two longitudinal samples
Yi, Z. N., Mayorga, M. E., Lich, K. H., & Pearson, J. L. (2017), Tobacco Induced Diseases, 15.
A maximum expected covering problem for district design
Ansari, S., Mclay, L. A., & Mayorga, M. E. (2017), Transportation Science, 51(1), 376-390.
Cost-effectiveness analysis of four simulated colorectal cancer screening interventions, North Carolina
Lich, K. H., Cornejo, D. A., Mayorga, M. E., Pignone, M., Tangka, F. K. L., Richardson, L. C., Kuo, T. M., Meyer, A. M., Hall, I. J., Smith, J. L., Durham, T. A., Chall, S. A., Crutchfield, T. M., & Wheeler, S. B. (2017), Preventing Chronic Disease, 14.
The numbers of new waitlist registrants and removals are outpacing the number of liver transplants: National trends and regional variation from 2003 through 2014
Yi, Z. A., Mayorga, M., Wheeler, S. B., Hayashi, P. H., Barritt, A. S., & Orman, E. S. (2016), Hepatology, 64, 701A-701A.
Simulation of triaging patients into an internal medicine department to validate the use of an optimization based workload score
Agor, J., McKenzie, K., Ozaltin, O., Mayorga, M., Parikh, R. S., & Huddleston, J. (2016), In 2016 winter simulation conference (wsc). (Winter Simulation Conference Proceedings, ) (pp. 3708-3709).
A Discrete event simulation model to estimate population level health and economic impacts of smoking cessation interventions
Mayorga, M. E., Reifsnider, O. S., Wheeler, S. B., & Kohler, R. E. (2016), In 2016 10th european conference on antennas and propagation (eucap). (Proceedings of the European Conference on Antennas and Propagation, ) (pp. 1257-1268).
Creating common patients and evaluating indiviual results: issues in indivual simulation for health policy analysis
Cornejo, D., Mayorga, M. E., & Lich, K. H. (2016), In 2016 10th european conference on antennas and propagation (eucap). (Proceedings of the European Conference on Antennas and Propagation, ) (pp. 1387-1398).
A Framework for modeling the complex interaction between breast cancer and diabetes
Goodarzi, S. H., McKenzie, K., Nataraj, N., Ivy, J. S., Mayorga, M., Mason, J., & Tejada, J. (2016), In 2016 10th european conference on antennas and propagation (eucap). (Proceedings of the European Conference on Antennas and Propagation, ) (pp. 1245-1256).
Coverage, survivability or response time: A comparative study of performance statistics used in ambulance location models via simulation-optimization
Zaffar, M. A., Rajagopalan, H. K., Saydam, C., Mayorga, M., & Sharer, E. (2016), Operations Research for Health Care, 11, 1-12.

View all publications via NC State Libraries


Center for Health Promotion and Disease Prevention
Centers for Disease Control & Prevention(9/30/17 - 9/29/18)
RAPID: Collaborative Research: Field Study of Volunteer Convergence in Post-Disaster Relief
National Science Foundation (NSF)(10/01/17 - 9/30/18)
LAS DO7 Mayorga - 3.2 Small Conflict Economies
Laboratory for Analytic Sciences(1/01/17 - 12/31/17)
SCH: INT: Collaborative Research: S.E.P.S.I.S.: Sepsis Early Prediction Support Implementation System: CCHS Summer
National Science Foundation (NSF)(10/01/15 - 9/30/18)
LAS DO6 Mayorga - User Experience
Laboratory for Analytic Sciences(1/01/16 - 12/31/16)
SIP 14-010 Cancer Prevention & Control Research Network Coordinating Center
Centers for Disease Control & Prevention(9/30/15 - 9/29/17)
LAS DO5 Mayorga Task 5.2
Laboratory for Analytic Sciences(3/24/15 - 12/31/15)
SCH: INT: Collaborative Research: S.E.P.S.I.S.: Sepsis Early Prediction Support Implementation System
National Science Foundation (NSF)(10/01/15 - 9/30/18)
LAS DO3 Task Order 2.3 Instrumentation
Laboratory for Analytic Sciences(3/31/14 - 5/15/15)
CAREER: Incorporating Patient Heterogeneity and Choice into Predictive Models of Health & Economic Outcomes
National Science Foundation (NSF)(9/01/13 - 5/31/17)