Zachary James

zj37@cornell.edu

Hi! I'm a PhD student at Cornell University using statistical approximations and high-performance computing to quickly build large-scale machine learning models. I'm advised by Joe Guinness, working on efficient algorithms for Gaussian processes. My previous research includes helping ecologists model tree growth in the Amazon rainforest, building image classifiers with epidemiologists to study spillover events, and using network analysis to give public health experts a better understanding of addiction.

I was selected as a PiTech fellow at Cornell Tech to help NYC better use meteorological data. In my free time I enjoy cooking, making origami, and finding an excuse to look at the shellfish on Rockaway beach.