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