I study the large scale structure of the universe to learn about the birth and evolution of galaxies and to extract information about fundamental physics and our cosmic origins. I am particularly interested in the high-redshift universe and using the clustering and cross-correlations of Lyman-break Galaxies (LBGs) and CMB lensing to constrain cosmology in the matter-dominated era. I created and lead the LBG Topical Team of the Dark Energy Science Collaboration (DESC) of the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST). I use a variety of machine learning tools in my research, including normalizing flows, convolutional neural networks, and variational autoencoders.
I also work on developing algorithms for and commissioning the Rubin Observatory's active optics system. This system applies real-time corrections to the optical alignment and mirror figures to ensure optimal image quality for precision science. I lead the development of the wavefront estimation algorithms, i.e., algorithms that infer the presence of optical aberrations from Rubin images.
I am currently a PhD student at the DIRAC Institute of the University of Washington, advised by Prof. Andy Connolly. I received a bachelor's in physics from Duke University, where I graduated summa cum laude with highest distinction. I was a Duke Faculty Scholar working with Prof. Kate Scholberg in the Duke Neutrino and Cosmology Group.
In my free time I enjoy alpine climbing, backcountry skiing, and watching way too many movies.