Bridging numerical relativity and deep learning to decode the universe's most extreme events — producing high-fidelity gravitational waveforms from large-scale simulations of black hole mergers and neutron star collisions, and leveraging neural networks to model, interpret, and accelerate the science of gravitational-wave modelling.
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I am a PhD student in the Department of Physics at Penn State University, working with the Numerical Relativity group (NumRel@PSU) under the supervision of Dr. David Radice. My research sits at the intersection of gravitational physics, numerical relativity, and deep learning.
I study some of the most extreme phenomena in the universe — from the nonlinear dynamics of black hole mergers to the physics of ringdown. I use large-scale numerical simulations to probe the fundamental nature of gravity in the strong-field regime. My work also entails exploring applications of deep learning in gravitational-wave modelling.
Before Penn State, I completed my BS-MS dual degree in Physics from IISER Kolkata (2021) and spent time as a visiting researcher at ICTS-TIFR, Bengaluru, working on dynamical horizons of black holes under Dr. Prayush Kumar.
Using neural networks to learn diffeomorphism between equivalent spacetime metrics — developing a novel technique to apply machine learning for comparison of spacetime metric from various numerical relativity simulations.
Investigating nonlinear effects in the ringdown phase of gravitational waveforms from black hole mergers — signatures critical for precision gravitational-wave astronomy.
Characterizing how black hole boundaries evolve during highly dynamic spacetime events like binary coalescence through numerical relativity simulations.
Classical and Quantum Gravity 43, 065019 (2026)
Physical Review D 111, 063015 (2025)
Physical Review Letters 130, 081401 (2023)
Happy to chat about gravitational-wave physics, numerical relativity, potential collaborations, or anything else.
Whitmore Lab
Institute for Gravitation and the Cosmos
Department of Physics
Penn State University
University Park, PA 16802