Aadya Agrawal
PhD Candidate in Astronomy · University of Illinois at Urbana-Champaign
Department of Astronomy
University of Illinois
Urbana-Champaign, IL
I am a PhD candidate in the Department of Astronomy at the University of Illinois at Urbana-Champaign, working with Prof. Gautham Narayan. I became a PhD candidate in September 2025. My research sits at the intersection of observational cosmology, gravitational lensing, and time-domain astronomy.
My primary focus is on strongly lensed Type Ia supernovae — rare events where a background supernova is multiply imaged by an intervening galaxy cluster. These systems allow us to measure time delays between images and use them to independently constrain the Hubble constant (H₀), contributing to the ongoing effort to resolve the Hubble tension. I have been deeply involved in the analysis of SN H0pe, the first lensed SN Ia used for time-delay cosmography, and SN Encore, the first system with two multiply-imaged supernovae in the same host galaxy. Much of this work relies on JWST NIRCam data, where I perform difference imaging, photometry, and light curve modelling using BAYESN and SALT3.
I am also part of the SIRAH (Supernovae in the InfRAred Avec Hubble) project, which combines ground-based and HST observations for SN Ia cosmology. Additionally, I am interested in using machine learning and AI tools to identify and classify lensed supernovae in upcoming large survey datasets from LSST, Roman, and Euclid.
Before coming to UIUC, I completed my BS in Physics and Astronomy with High Honors at the University of Michigan, where I worked on X-ray source detection with eROSITA and Planck, and on integrating van der Waals heterostructures with photonic crystal nanobeams for my honors thesis.
latest news
| Apr 03, 2026 | Attended Rubin Alerts Hackathon 2026 (April 1-3) at the SkAI Institute. The workshop focused on understanding Rubin alerts and Brokers to prepare tools and workflows for when LSST goes live. |
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| Mar 12, 2026 | Attended TDABench 2026 (March 9-12) at the SkAI Institute. The workshop focused on creating benchmark datasets for transient detection and classification. |
| Jan 15, 2026 | I gave 2 talks at AAS 246 in Phoenix, AZ! |