AI, Big Data, Cosmology
Gautham Narayan is the Barry M. Lasker Data Science Fellow at STScI. His research interests lie 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, and establishing an all-sky network of faint spectrophotometric standards for LSST, WFIRST and future projects.
He is also a former organizer of Astronomy on Tap-Tucson, does podcasts, public talks, panels at sci-fi conventions (Robots! Sci-fi space battles! Gustav Holst’s Planets suite and more!), volunteers with local STEM clubs, and works get people as excited about science as he is.
PhD Physics, 2013
BS (Hons) Physics, 2005
Illinois Wesleyan University
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Please see my CV for a list of publications.*
I have been an instructor at the:
Please see my CV for a list of students I have mentored.