About

I am a second-year year PhD student at the Department of Computer Science, College of William & Mary. My research concentration is in Deep Learning, Anomaly Detection, and Explainable Artificial Intelligence. I am interested in studying state-of-the-art learning methods, and applying them to solve real world problems.

Before starting at W&M, I worked as a graduate research assistant and completed my MS degree in Computer Science at the University of Rochester. Specifically, I worked on building neural-symbolic semantic parsing systems and automating natural language inference with Lenhart Schubert. I was also involved in VISTA Lab’s COVID-19 projects for studying many impactful aspects of the pandemic using data collected from social media networks.

Education

• College of William & Mary (2022 - )
  Ph.D Computer Science
• University of Rochester (2014 - 2021)
  M.S Computer Science
  B.A Data Science
  B.S Mathematics