Maria Mayorga

University Faculty Scholar and Professor of Personalized Medicine

https://youtu.be/55gHrPR8eG0

 
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

DegreeProgramSchoolYear
Ph.D.Doctorate on Philosophy in Industrial EngineeringUniversity of California at Berkeley2006
MSMaster of ScienceUniversity of California at Berkeley2002
BSBachelor of ScienceGeorge Washington University2000
 

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

 

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

View all publications via NC State Libraries

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
Maria Mayorga