Ankur Barsode

Gravitational-wave astronomy · Bayesian inference

Ankur Barsode

Postdoctoral fellow researching astronomy, astrophysics, and cosmology using gravitational waves (GWs).

Chennai Mathematical Institute · Chennai, India

Ankur Barsode

Profile

About

I am a postdoctoral fellow at the Chennai Mathematical Institute. My research centres on searching for lensed GWs and using them to deepen our understanding of the universe. Alongside my research, I contribute to teaching, mentorship, and public outreach.

Programme

Research interests

GW strong lensing

Developing searches for strongly lensed GWs and assessing their scientific implications for astrophysics and cosmology.

Bayesian inference

Designing statistical methods for robust and reliable model selection.

Scientific computing

Applying efficient numerical and machine-learning methods to accelerate demanding calculations in GW data analysis.

Current focus

Estimating statistical significance

Estimating statistical significance in GW strong lensing searches is challenging because the calculation must scale to large event catalogues. I am developing methods that preserve statistical rigour while making this problem computationally tractable.

Searching for multiple images

Identifying multiple images is difficult because the number of possible triplets and quadruplets grows rapidly with the catalogue. I am exploring efficient strategies for searching this combinatorial space without sacrificing sensitivity.

Output

Publications

  1. 1

    Barsode, Ankur. Tool for Accurate Model Selection Using Bayes Factors. Physical Review D, vol. 114, article 064045, 2026. ↗

  2. 2

    Barsode, Ankur, Koustav N. Maity, and Parameswaran Ajith. Search for Strong Lensing of Gravitational Waves in the Binary Black Hole Events from O1–O4a. The Astrophysical Journal, vol. 1009, no. 1, article 43, 2026. ↗

  3. 3

    Barsode, Ankur, Koustav N. Maity, and Parameswaran Ajith. Lensing, Not Luck! Detection Prospects of Strongly Lensed Gravitational Waves. The Astrophysical Journal, vol. 998, no. 2, article 294, 2026. ↗

  4. 4

    Barsode, Ankur, Srashti Goyal, and Parameswaran Ajith. Fast and Efficient Bayesian Method to Search for Strongly Lensed Gravitational Waves. The Astrophysical Journal, vol. 980, no. 2, article 258, 2025. ↗

  5. 5

    Barsode, Ankur, and Tirthankar Roy Choudhury. Efficient Hybrid Technique for Generating Sub-Grid Haloes in Reionization Simulations. Journal of Cosmology and Astroparticle Physics, no. 11, article 036, 2024. ↗

For a complete record, visit INSPIREHEP or Google Scholar.

Journey

Experience

2026 — Present

Postdoctoral Fellow

Chennai Mathematical Institute

Conducting research on GW lensing and the statistical methods required to identify lensed events.

2021 — 2026

PhD Student

ICTS, TIFR

Conducted research on GW lensing and the statistical methods required to identify lensed events.

Dec 2022 — Present

Member

LIGO–Virgo–KAGRA Collaboration

Contributing to searches for signatures of GW lensing.

Jan — Jul 2021

Long-term research student

NCRA

Worked on cosmological simulations for my MSc thesis.

May — Jul 2020

Summer research student

NCRA

Undertook research in radio astronomy and pulsars.

Foundation

Education

PhD in Physics (thesis submitted)

International Centre for Theoretical Sciences, TIFR · 2021–2026

Thesis: Detecting strong gravitational lensing of gravitational waves

Dual Degree — BE in Mechanical Engineering & MSc in Physics

BITS Pilani, Pilani Campus · 2016–2021

Community

Teaching & Outreach

I have lectured and tutored at the ICTS GW Open Data Workshop (GWODW) in 2024, 2025, and 2026. I have also co-advised a master's thesis and mentored a junior PhD researcher within my group.

I am involved in public engagement with science; visit the outreach page for more.