I am a PhD candidate in the University of Washington Deparment of Statistics advised by Marina Meila. Recently, I have also been working with Stefan Mihalas at Allen Brain on modelling the neural connectome. Previously, I worked on stem-cell fate tracking in Cindy Dunbar's group at the National Institutes of Health, single-cell RNA-sequencing with Raphael Gottardo at Fred Hutch, interned at Amazon Supply Chain Optimization Technologies. I have a BA in Math from Columbia University.
My thesis research is on algorithms for parametric dimension reduction that give interpretability to learned representations. This work combines techniques from optimization, machine learning, differential geometry, and high-dimensional statistics. We apply this methodology to data from quantum molecular dynamics and astronomy, but it is relevant to a broad range of fields. I also do research on computational biology.