Maria Mayorga
University Faculty Scholar and Professor of Personalized Medicine
- Phone: 919.513.1690
- Email: memayorg@ncsu.edu
- Office: 4327 Fitts-Woolard Hall
- Website: https://mayorga.wordpress.ncsu.edu
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.
Education
| Degree | Program | School | Year |
|---|---|---|---|
| Ph.D. | Doctorate on Philosophy in Industrial Engineering | University of California at Berkeley | 2006 |
| MS | Master of Science | University of California at Berkeley | 2002 |
| BS | Bachelor of Science | George Washington University | 2000 |
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
- How COVID-19 Will Affect North Carolina in the Months Ahead
- Four-University Study Focuses on Student Well-Being During the Pandemic
- Research Helps Volunteers Do the Most Good After a Disaster
- Mayorga wins the Night at the C.A. Anderson Awards
- Outreach and Engagement
- Mayorga Named University Faculty Scholar
- ISE Hosts Students Conference
- Faculty Profile: Maria Mayorga
- Improving NC Healthcare
- Improving NC’s Healthcare Systems
- ISE is the Model of Health
- ISE Looks to the Future
Publications
- 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, 9. https://doi.org/10.1016/j.ypmed.2022.107126
- 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, 8. https://doi.org/10.3389/fpubh.2022.906602
- GENERATION 1.5: YEARS IN THE UNITED STATES AND OTHER FACTORS AFFECTING SMOKING BEHAVIORS AMONG ASIAN AMERICANS
- Shi, L., Mayorga, M., Su, D., Li, Y., Martin, E., & Zhang, D. (2022), ETHNICITY & DISEASE. https://doi.org/10.18865/ed.32.2.75
- 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. https://doi.org/10.1080/24725854.2022.2113187
- 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, 2. https://doi.org/10.1109/JBHI.2021.3094777
- 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. https://doi.org/10.1177/0272989X221097386
- 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. https://doi.org/10.1016/j.omega.2020.102228
- 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. https://doi.org/10.1001/jamanetworkopen.2021.10782
- 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). https://doi.org/10.1109/BigData52589.2021.9671407
- EVALUATING DIABETIC RETINOPATHY SCREENING INTERVENTIONS IN A MICROSIMULATION MODEL
- Swan, B., Nambiar, S., Koutouan, P., Mayorga, M. E., Ivy, J., & Fransen, S. (2020), 2020 WINTER SIMULATION CONFERENCE (WSC). https://doi.org/10.1109/WSC48552.2020.9384074
Grants
- 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
- 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
