Maria Mayorga

Professor of Personalized Medicine

University Faculty Scholar

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.


Prepositioning disaster relief supplies using robust optimization
Velasquez, G. A., Mayorga, M. E., & Ozaltin, O. Y. (2020), IISE TRANSACTIONS.
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.
Estimating the impact of insurance expansion on colorectal cancer and related costs in North Carolina: A population-level simulation analysis
Lich, K. H., Meghan C. O'Leary, Nambiar, S., Townsley, R. M., Mayorga, M. E., Hicklin, K., … Wheeler, S. B. (2019), PREVENTIVE MEDICINE, 129.
Identifying trade-offs in equity and efficiency for simultaneously optimizing location and multipriority dispatch of ambulances
Enayati, S., Mayorga, M. E., Toro-Diaz, H., & Albert, L. A. (2019), INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH, 26(2), 415–438.
Mailed FIT (fecal immunochemical test), navigation or patient reminders? Using microsimulation to inform selection of interventions to increase colorectal cancer screening in Medicaid enrollees
Davis, M. M., Nambiar, S., Mayorga, M. E., Sullivan, E., Hicklin, K., Meghan C. O'Leary, … Wheeler, S. B. (2019), PREVENTIVE MEDICINE, 129.
Objective measures of workload in healthcare: a narrative review
Fishbein, D., Nambiar, S., McKenzie, K., Mayorga, M., Miller, K., Tran, K., … Capan, M. (2019), INTERNATIONAL JOURNAL OF HEALTH CARE QUALITY ASSURANCE.
Prepositioning inventory for disasters: a robust and equitable model
Velasquez, G. A., Mayorga, M. E., & Cruz, E. A. R. (2019), OR SPECTRUM, 41(3), 757–785.
Ambulance redeployment and dispatching under uncertainty with personnel workload limitations
Enayati, S., Ozaltin, O. Y., Mayorga, M. E., & Saydam, C. (2018), IISE Transactions, 50(9), 777–788.
Introduction to the Special Issue on Advancing Health Services
Maillart, L. M., & Mayorga, M. E. (2018), SERVICE SCIENCE, 10(3), V-.

View all publications via NC State Libraries


RAPID: Health Systems and Patients Grapple with Medical Surge in the Era of COVID-19
National Science Foundation (NSF)(5/01/20 - 4/30/21)
Projecting Impacts of Colorectal Cancer Screening on Lifelong CRC Outcomes
Centers for Disease Control & Prevention(3/01/20 - 7/31/20)
ISN2: Interpretable and Automated Detection of Illicit Massage Businesses
National Science Foundation (NSF)(9/01/19 - 8/31/22)
RAPID: Collaborative Research: Defining a Performance Measurement Framework for Spontaneous Volunteer Management Systems in Post-Disaster Relief
National Science Foundation (NSF)(11/01/18 - 10/31/20)
Improving Patient Throughput in the Emergency Department at Southeastern Regional Medical Center
Southeastern Regional Medical Center (SRMC)(6/01/18 - 5/31/19)
UNC Center for Health Promotion and Disease Prevention Year 5
Centers for Disease Control & Prevention(9/30/18 - 9/29/19)
Analytics-Based Platform for Diabetic Retinopathy Care Management
National Institutes of Health (NIH)(6/01/19 - 5/31/20)
Scaling Colorectal Cancer Screening Through Outreach, Referral, and Engagement (SCORE): A State-Level Program to Reduce Colorectal Cancer Burden in Vulnerable Populations
National Institutes of Health (NIH)(9/30/18 - 8/31/19)
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)