Bio

Research Area: Health Policy

I develop computational models to improve decision-making in health policy. Specifically, I utilize complex networks, machine learning, data analytics, and economic modeling in my methodology. Applications include emerging, zoonotic, neglected, and sexually transmitted communicable infectious diseases that pose a risk as a result of naturally occurring emergence or biological attack.

Honors & Awards

  • Charles and Katherine Lin Fellowship, Department of Management Science & Engineering, Stanford University (July 2019)
  • Lee B. Lusted Student Prize in Health Services, Outcomes, and Policy Research, Society for Medical Decision Making (October 2019)
  • Excellence in Undergraduate Research Award, Purdue Policy Research Institute (May 2017)

Education & Certifications

  • BS, Purdue University, Industrial Engineering

Contact

  • Academic
    malloyg@stanford.edu
    University - Student Department: Management Science and Engineering Position: Graduate

Additional Info

  • Mail Code: 6019

All Publications

  • Estimation of COVID-19 Basic Reproduction Ratio in a Large Urban Jail in the United States. Annals of epidemiology Puglisi, L. B., Malloy, G. S., Harvey, T. D., Brandeau, M. L., Wang, E. A. 2020

    View details for DOI 10.1016/j.annepidem.2020.09.002

    View details for PubMedID 32919033