Gautham Narayan is an Associate Professor at the University of Illinois, Urbana-Champaign. His research
interests are at the intersection of multi-messenger and time-domain astrophysics, cosmology, statistics and
data science. He works on wide-field surveys developing machine learning methods for real-time detection and
classification of variable and transient sources, Bayesian models for cosmological inference with type Ia
supernovae, understanding the host galaxies of transients, and establishing an all-sky network of faint
spectrophotometric standards for Rubin/LSST and future projects.