Hi and welcome! I am a PhD candidate in the Human Computer Interaction Institute at Carnegie Mellon University. I am a member of the DIG research group and am advised by Adam Perer and Dominik Moritz .
My research interests lie in developing ways to make complex systems easier to use and understand for non-experts. Specifically, I am working to enable interpretable Machine Learning, often through interactive visualizations. I'm also interested in how machine learning can be applied to the medical domain to help both doctors and patient experiences.
I did my undergrad at Georgia Tech where I studied Computer Science and researched fairness in ML through visual analytics systems, advised by Polo Chau.