My research will apply cutting-edge machine learning (ML) methods to the millions of galaxies observed by galaxy surveys to answer fundamental questions in cosmology and about galaxies: What is the nature of dark energy that drives the accelerated expansion of the Universe? What is the sum of neutrino masses? How does the underlying dark matter environment of galaxies impact their evolution?

My work lies in the intersection of large-scale structure cosmology and galaxy evolution and leverages my expertise in observations, simulations, and ML. I lead the ongoing DESI survey and the upcoming PFS Cosmology survey. I also lead the collaborations building state-of-the-art cosmological simulations and testing galaxy formation models. Lastly, I develop statistical and ML tools that can unlock the scientific potential of astronomical datasets.

Outside of astronomy, I enjoy hiking, cooking, and playing tennis. I also like thinking about causal inference and assessing climate policy.