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
- 2022 | Provost’s Faculty Fellow Award, Office for Faculty Excellence and the Office of the Executive Vice Chancellor and Provost
- 2022 | Fellow of the Institute of Industrial and Systems Engineering
- 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
- Agent-Based Simulation of Spontaneous Volunteer Convergence to Improve Disaster Planning
- Paret, K., Rodriguez, S. A., Mayorga, M. E., Velotti, L., & Lodree, E. J. (2023), NATURAL HAZARDS REVIEW, 24(2). https://doi.org/10.1061/NHREFO.NHENG-1659
- Detecting Human Trafficking: Automated Classification of Online Customer Reviews of Massage Businesses
- Li, R., Tobey, M., Mayorga, M. E., Caltagirone, S., & Ozaltin, O. Y. (2023, February 22), M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT, Vol. 2. https://doi.org/10.1287/msom.2023.1196
- Engaging stakeholders in the use of an interactive simulation tool to support decision-making about the implementation of colorectal cancer screening interventions
- Meghan. C. C. O'Leary, Lich, K. H., Mayorga, M. E. E., Hicklin, K., Davis, M. M. M., Brenner, A. T. T., … Wheeler, S. B. B. (2023, May 6), CANCER CAUSES & CONTROL, Vol. 5. https://doi.org/10.1007/s10552-023-01692-0
- 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, 162. 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, 10. 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, 32(2), 75–80. 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
- Modeling the Impact of Nonpharmaceutical Interventions on COVID-19 Transmission in K-12 Schools
- Zhang, Y., Mayorga, M. E., Ivy, J., Lich, K. H., & Swann, J. L. (2022), MDM POLICY & PRACTICE, 7(2). https://doi.org/10.1177/23814683221140866
- Organizational decision-making during COVID-19: A qualitative analysis of the organizational decision-making system in the United States during COVID-19
- Johnson, K., Biddell, C. B. B., Hecht, H. K. K., Lich, K. H. H., Swann, J., Delamater, P., … Patel, M. D. D. (2022, November 18), JOURNAL OF CONTINGENCIES AND CRISIS MANAGEMENT, Vol. 11. https://doi.org/10.1111/1468-5973.12437
- 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, 26(2), 809–817. https://doi.org/10.1109/JBHI.2021.3094777
Grants
- Projecting impacts of colorectal cancer screening on lifelong CRC outcomes (Yr 5): Modeling the impact of community health center intervention
- Detection of Illicit Massage Businesses through Spatial and Socio-Demographic Data Enrichment
- 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
