Gautham Narayan

AI, Big Data, Cosmology


August 2019 – Present
Urbana, IL

Assistant Professor

University of Illinois at Urbana-Champaign

Research Activities:

  • Understanding the host-environments of transients
  • Building a cross-calibrated all-sky photometric catalog
  • The Young Supernova Experiment (YSE)
  • Co-convenor, Supernova Working Group, Dark Energy Science Collaboration
  • Science preparedness for the Large Synoptic Survey Telescope
June 2017 – August 2019
Baltimore, MD

Lasker Data Science Fellow

Space Telescope Science Institute (STScI)

Research Activities:

  • Rapid response followup of supernovae with KEGS
  • Neural networks to characterize multi-messenger alert streams
  • Bayesian models for cosmological samples of type Ia supernovae
June 2013 – June 2017
Tucson, AZ

Postdoctoral Fellow

National Optical Astronomy Observatory (NOAO)

Research Activities:

  • Developing the ANTARES alert broker
  • Establishing a network of faint spectrophotometric standards


Click for more

Please see my CV for a list of publications.


Using AI to classify things that go bump in the night

Understanding explosions and environments

A network of spectrophotometric standards for LSST and WFIRST

Measuring w(z) with Type Ia Supernovae


I have been an instructor at the:

  • ZTF Summer School, Pasadena, Aug. 2018
  • LSST Data Science Fellowship Program, Session 5, Baltimore, Jan. 2018
  • LSST Data Science Fellowship Program, Session 3, Tucson, Apr. 2017
  • NOAO Teen Astronomy Cafe, How Stars Die, Tucson, Nov. 2017
  • NOAO Big Data Workshop for Tucson High School Students, Jan. 2017
  • Python Workshop for NOAO/NSO REU Students, Tucson, 2014 & 2015
  • Teaching Fellow/Teaching Assistant/Tutor for introductory physics and astrophysics classes, electronics, and experimental physics

Please see my CV for a list of students I have mentored.

Recent Talks

  • Probing Supernovae Progenitors with Early-time Light Curves from K2
  • The Lives and Deaths of Stars, Youth For Astronomy and Engineering
  • ANTARES - Coping with Streaming Data, LSST Data Science Fellowship Program Session 3