About me

I am a 3rd year PhD student in Societal Computing at Carnegie Mellon University advised by Prof. Kathleen Carly. I am a member of the Center for Informed Democracy and Social Cybersecurity (IDeaS) and the Center for Computational Analysis of Social and Organizational Systems (CASOS).

Before coming to Carnegie Mellon University, I earned a BS in Mathematics at the College of William and Mary, where I completed my undergraduate thesis, “Nonlinear Models of Zooplankton Communities” with Prof. Sarah Day and Prof. Drew LaMar. I then went on to complete my MS in Computational Operations Research at the College of William and Mary, where I worked on my Master’s capstone simulation project with Prof. Lawrence Leemis. For my Master’s project, I developed a simulation to lower voting times on Election Day by optimizing the number of resources. I then worked for a few years in industry, including as a Data Scientist at MITRE, before deciding to attend CMU to obtain my PhD.

While my research interests have changed over time, I have always been interested in better understanding technology’s impact on society. My current research focuses on possible countermeasures to the spread of social media misinformation and polarizaion. These countermeasures can range from the individual level (reporting misinformation you see on social media to the platform) to the platform or government levels. There are many societal challenges associated with social media misinformation and polarization, so understanding which countermeasures are effective is crucial. I am also working on understanding why individuals share misinformation on social media and what effects this misinformation and polarization have on society.

Last Updated: January 10th, 2022