I am a PhD candidate in Biomedical Data Science, working at the intersection of biomedicine and AI. My current research focuses on multiomics data fusion, where I develop machine learning models for multi-modal biomedical data, with the goal of improving our understanding of disease mechanisms, facilitating early diagnosis, and enabling personalized treatment. I did my undergraduate training in Statistics and Economics at the University of Chicago, and I hold a M.S. in Computational and Mathematical Engineering from Stanford University. In my spare time, I enjoy playing the piano, going to concerts, photography, and spending time with my Bichon boy, Pluto.