I recently earned my PhD in Societal Computing from Carnegie Mellon University’s Software and Societal Systems Department, advised by Prof. Kathleen M. Carley. I study how people encounter and respond to social media misinformation, and how we can design interventions that are not only effective, but also accepted and adopted in real-world settings.

My work bridges disciplines, and I use a variety of computational social science methods including social network analysis, survey analysis, and user studies.

Download my CV

About Me

My dissertation focused on developing effective and practical countermeasures to misinformation. While there has been substantial work on analyzing the effectiveness of various interventions, little work has been conducted on user acceptance — a critical component for implementation.

I studied interventions ranging from individual-level actions (e.g., reporting misinformation on social media) to platform or government-level policies. In the course of my work, I identified understudied strategies, evaluated user behavior and perceptions, and developed evaluation frameworks that consider both effectiveness and user acceptance.

Before CMU, I earned a BS in Mathematics and an MS in Computational Operations Research at the College of William and Mary. My undergraduate thesis, “Nonlinear Models of Zooplankton Communities”, was completed with Prof. Sarah Day and Prof. Drew LaMar. For my Master’s capstone, I worked with Prof. Lawrence M. Leemis to develop a simulation that optimized resource allocation to lower voting times on Election Day. After my Master’s, I worked in industry (including as a Data Scientist at MITRE) before pursuing my PhD.

Featured Research

View all research blog posts →

Last Updated: August 7th, 2025