About Me
I am a former PhD student in Human-Centered Computing at the University of Florida. I work in the Computing for Social Good Lab under Dr. Juan Gilbert. In 2018, I graduated summa cum laude from the University of South Carolina with a B.Sc. in Computer Science. My research interests focus on machine learning and human-computer interaction, particularly as relates to issues of fairness, ethics, and explainability in machine learning.
In 2023, I interned at Pacific Northwest National Lab on a project exploring the potential of linearizing complex neural networks to make them more easily interpretable. Previously, I interned at Los Alamos National Lab during 2021 and 2022 where I worked on explainability for satellite imagery and characterizing social media communities. In 2020, I interned at Lawrence Livermore National Lab, working on a project related to explainable visualizations for scientific machine learning. I have worked on projects on a variety of topics, including analyzing how explanations affect users’ trust in a machine learning system, reviewing the literature on fairness in predictive policing & criminology, evaluating computer science students’ ethical awareness, and more.