Computer Science - NYU
I am a PhD student in the Computer Science Department at the Courant Institue at NYU working under Professor Andrew Wilson. I am interested in Bayesian machine learning including Gaussian processes, deep learning, and generative models. Most recently I have focused on kernel learning methods for Gaussian process models.
Prior to coming to NYU I completed Bachelor’s and Master’s degrees in Applied Mathematics at the University of Colorado at Boulder, where I worked on developing statistical models for climatological data. This work culminated in a thesis focused on producing precipitation climatologies at arbitrary locations across the United States.