Astrophysics · UIUC · Dean's List · James Scholar

Tanmay
Raswant

COSMOLOGY | COMPACT OBJECTS | DATA SCIENCE

Tanmay Raswant
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01 — About

Chasing light
across the cosmos

I'm Tanmay — an Astrophysics Honors student at the University of Illinois Urbana-Champaign, with minors in Computer Science and Data Science. I work at the intersection of observational astronomy and computation. My research interests span time domain astronomy, compact objects, gravity, dark matter and dark energy. I also believe that there is a lot of untapped potential between Astronomy and AI, and I'm hoping to explore that in the future!

My primary research uses Type Ia supernovae as standard candles in the near-infrared to probe dark energy. Type Ia SN, being very consistent in their intrinsic peak brightness, allow us to map cosmological distances with extremely high precsion and constrain the Hubble Constant. My work involves using NIR data from HST and integrating it with ground-based facilities like LCO, ATLAS, and ZTF. I fit that data to light curves using BayeSN and SALT3 models, extracting parameters like dust and distance modulus to create Hubble diagrams and tackle Hubble Tension.

Previously, I worked on reconstructing the Gaia astrometric analysis pipeline using PyMC and PyTensor before the release of DR4. I served as the forward modeling team lead for the Single-star and planet models.

Outside the lab, I love cooking, being a cinephile, playing football (or how some of you might call soccer) and chess.

Conference poster Working at conference
02 — Research & Experience

Where I've
worked

Jun 2026 –
Present
NU
Northwestern University
CIERA Summer Intern
Advisor: Prof. Wen-Fai Fong
Nov 2024 –
Present
UIUC
Illinois Supernova Research Group
Supernova Cosmology Researcher
Advisor: Prof. Gautham Narayan
  • Using Type Ia supernovae to test evidence for dark energy.
  • SIRAH: modeling ~30 supernovae photometry in near-infrared using the Hubble Space Telescope.
  • Integrating spaced-based NIR data with ground-based optical data from LCO, ZTF, and ATLAS.
  • Fitting light curves and constructing Hubble diagrams to validate distance–redshift relations and cosmological consistency.
Aug 2025 –
Feb 2026
UIUC
Illinois Exoplanet Research Group
Forward Modeling Team Lead
Advisor: Prof. Jiayin Dong
  • Team Lead for single-star and planet models.
  • Reconstructed the Gaia telescope pipeline ahead of the DR4 release using PyTensor and PyMC.
  • Applied a Bayesian inference approach to infer planetary companion properties from Gaia Renormalised Unit Weight Error (RUWE) measurements.
Jun – Jul 2025
NCSA
National Center for Supercomputing Applications
HPC: ML + AI Summer Intern
  • Built and trained image classification CNNs on MNIST-1D and CINIC-10 datasets using PyTorch.
  • Experimented with architecture depth and channel projection variations.
  • Used Lightning Fabric for distributed training across multiple GPUs on the Delta supercomputing cluster.
Feb 2024 –
Jan 2025
UIUC
MATH and PHYS Departments
Calculus & Physics Tutor
  • Tutored Calculus I (MATH 220) and Pre-Calculus (MATH 115) in the Mathematics Department.
  • Also tutored Physics Mechanics (PHYS 211) and Calculus I (220) in the Astronomy Department.
  • Helped students strengthen conceptual understanding and problem-solving skills.
  • Focused on personalized, one-on-one instruction to improve performance and confidence.
Jan – Aug 2024
UIUC
Modeling of Nuclear Materials Group
Nuclear Physics Researcher
Advisor: Prof. Jianqi Xi
  • Improved understanding of radiation-induced defects in nuclear materials using ML methods and Density Functional Theory.
  • Ran Molecular Dynamics, Kinetic Monte Carlo, and cluster dynamics simulations to predict microstructural evolution.
  • Solved Schrödinger like equations in the Kohn-Sham scheme for the electron densities of non-interacting electrons.
Jun – Jul 2023
IIT Roorkee
IIT Roorkee Astronomy Department
Astrophysics Summer Intern
  • Completed advanced lectures on stellar astrophysics.
  • Authored a 30+ page review paper on stellar evolution, developing scientific writing skills.
Nov 2021 –
Sept 2022
Deepali Exhibitions
Deepali Exhibitions Pvt Ltd
Material Science Research Intern
Advisor: Dr. Akash Pandey
  • Research and Development on applications of graphene in high-altitude structures.
  • Computed most efficient diagrams for maintaining laminar heat flow in high-altitude structures.
  • Improved turbine efficiency by 7% using ferromagnetic materials and Brake Energy Regeneration.
03 — Awards

Awards
and Recognitions

James Scholar Distinction
2024
Dean's List Award
2024
IASC - 28 Asteroid Discoveries
2018
National Chess Silver Medalist
2018
Astronomy Club Event Head
2017
Astronomy Club - Founder & President (ISRO certified)
2022
International FIDE chess rating: 1526
2025
FIT IN DEUTSCH (A1 exam) - 57/60, Awarded a trip to Jim Corbett National park
2018
04 — Affiliations

Affiliations

LSST DESC
LSST Dark Energy Science Collaboration
YSE
The Young Supernova Experiment
SIRAH
HST Supernovae in the InfRAred avec Hubble
SkAI
NSF-Simons AI Institute for the Sky
04 — Contact

Let's
connect

I'm open to research collaborations, internship opportunities, and conversations about astrophysics, cosmology, or anything in between.

Feel free to reach out!

Full CV Curriculum vitae · Updated May 2026
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