Embedded Files
I am a Ph.D. candidate in Industrial Engineering at Clemson University whose research asks a central question: what happens after an intervention is deployed? In complex public-sector systems, people, organizations, and networks may adapt to an intervention in ways that reduce harm, limit its effectiveness, or shift risk across locations, populations, and time.
I develop decision-support methods for human-centered service and policy systems in which uncertainty, resource constraints, access barriers, and behavioral adaptation shape intervention outcomes. By connecting empirical evidence with simulation and optimization, my work supports decisions about where, when, and how limited interventions should be deployed.
My dissertation applies this perspective to the opioid epidemic. I use spatial and statistical analysis to identify gaps between community need and access to harm-reduction services, agent-based modeling to evaluate behavioral and policy responses over time, and stochastic bilevel optimization to anticipate adaptation within illicit supply networks.
Building on these foundations, my future research will develop prescriptive methods that move from identifying access gaps to designing intervention portfolios, anticipate adaptive responses and unintended harm shifting, and recalibrate decisions as new data and system conditions emerge. Although grounded initially in substance-use response and access-to-care systems, this agenda extends to other public-health and public-sector settings in which interventions interact with human behavior and changing conditions.
My long-term goal is to lead an interdisciplinary research group that advances operations research while training students to address consequential public-sector problems through student-centered teaching, mentoring, and collaborative problem-solving.
Page updated
Google Sites
Report abuse