Biography

I am interested in problems and projects that are influenced by and require large-scale computing resources and knowledge of advanced statistical techniques. Usually anything that requires me to write a novel piece of code will pique my interest. While a graduate student at the University of Washington, I’ve worked on building a science platform for performing distributed computing in the cloud with an intent to make feasible the analysis of terabytes of catalog data from the Zwicky Transient Facility [1], I’ve developed software that integrates JupyterHub and Jupyter notebooks with the checkpoint/restore functionality of the Podman container software [2], I’ve developed pipelines for processing image data from the Dark Energy Camera to search for solar system objects, and I’ve worked on developing methods using e.g. principal component analysis for predicting the metallicity of RR Lyrae stars from their light curves. With the Statistical Sciences group at Los Alamos National Laboratory, I’ve helped evaluate the effectiveness of approximate Gaussian process models for building statistical emulators of expensive computer simulations.mical data sets in the Cloud.