About

Hello! I’m a PhD candidate in Data Science at Boston University, interested in using artificial intelligence to advance scientific discovery. My research mainly focuses on design and analayis of interpretable clustering models, giving users meaningful understanding of the decision processes underlying their models. I am especially interested in applying these techniques to scientific challenges, and am currently studying environmental data from coastal ecosystems. Previously, I have worked on clustering and matrix factorization algorithms for studying the spatio-temporal patterns of Covid-19.