Chris Garling is a PhD candidate in astrophysics at The Ohio State University with nine years of research experience probing halo substructure and searching for dwarf galaxies using resolved stellar populations. He combines observational data analysis—from Dark Energy Camera imaging to time-series work on RR Lyrae—with Bayesian and MCMC techniques developed during undergraduate research, and codes primarily in Python (and previously IDL) to calibrate and characterize faint satellites. Now collaborating with Annika Peter and working as a Near-Field Cosmology Prize Research Associate at the University of Virginia with Nitya Kallivayalil, he focuses on dwarf galaxy cosmology and quenching across local volumes. Based in Columbus, Ohio, Chris brings a track record of poster and summer-research outputs and a knack for turning careful stellar variability studies into insights about galaxy formation at the faint end.
9 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Astrophysics, Bachelor’s Degree, Astrophysics at Haverford College
Contributions:22 commits, 20 pushes, 1 branch in 1 year 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.