ChangHoon Hahn

I'm a postdoc at the Princeton Dept of Astrophysical Sciences . My research develops and applies cutting-edge machine learning (ML) methods to the millions of galaxies observed by galaxy surveys to answer fundamental questions in cosmology and galaxy evolution: 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 survey. I served as a co-chair of the DESI Bright Galaxy Survey Working Group and I am currently a co-leader of the PFS Cosmology Survey. I also lead the collaborations building state-of-the-art cosmological simulations (SimBIG, Quijote) and testing galaxy formation models (CAMELS, IQ). Lastly, I develop statistical and ML tools that can unlock the scientific potential of astronomical datasets (PROVABGS, SEDflow).

Before Princeton, I was a postdoc fellow at the Lawrence Berkeley National Lab and UC Berkeley Center for Cosmological Physics. I completed my PhD in Physics at NYU Center for Cosmology and Particle Physics.