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.

Education

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.

Publications

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), BMC HEALTH SERVICES RESEARCH. https://doi.org/10.1186/s12913-019-4113-2
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. https://doi.org/10.1111/itor.12590
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. https://doi.org/10.1007/s00291-019-00554-z
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. https://doi.org/10.1080/24725854.2018.1446105
Introduction to the Special Issue on Advancing Health Services
Maillart, L. M., & Mayorga, M. E. (2018), SERVICE SCIENCE, 10(3), V-. https://doi.org/10.1287/serv.2018.0225
Real-time ambulance redeployment approach to improve service coverage with fair and restricted workload for EMS providers
Enayati, S., Mayorga, M. E., Rajagopalan, H. K., & Saydam, C. (2018), OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 79, 67–80. https://doi.org/10.1016/j.omega.2017.08.001
A A maximum expected covering problem for district design
Ansari, S., Mclay, L. A., & Mayorga, M. E. (2017), Transportation Science, 51(1), 376–390. https://doi.org/10.1287/trsc.2015.0610
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. https://doi.org/10.1186/s12971-017-0121-3
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., … Wheeler, S. B. (2017), Preventing Chronic Disease, 14. https://doi.org/10.5888/pcd14.160158
Simulating triage of patients into an internal medicine department to validate the use of an optimization-based workload score
Agor, J., McKenzie, K., Mayorga, M. E., Ozaltin, O., Parikh, R. S., & Huddleston, J. (2017), In 2017 winter simulation conference (wsc) (pp. 2881–2892). https://doi.org/10.1109/wsc.2017.8248011

View all publications via NC State Libraries

Grants

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 - 4/30/20)
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)
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)