Je m'appelle Jyotirmaya.
I am a Research Scholar in Computer Science (Machine Learning) at Dr. Subhankar Mishra’s Lab (@smlab-niser), NISER, Homi Bhabha National Institute (HNBI), India. I completed my Integrated M.S. at NISER in 2022, majoring in Physics, with a minor in Computer Science. My master's thesis was on accelerating cosmological N-Body simulations using deep learning[Abstract].
My research interests lie in Geometric Deep Learning, primarily, Graph Neural Networks and Graph Neural Differential Equations. I am particularly interested in the confluence of Neural Differential Equations and Physics and welcome collaborations in this area.
I am also a maintainer @einsteinpy, having contributed to the project for Google Summer of Code 2020, and the code owner of Project Tirtha, an automated platform for crowd-sourced 3D reconstruction of heritage sites using neural reconstruction and rendering techniques.
- My dotfiles.
- Some of my data-science-related repos:
- CODS COMAD 2024 Data Challenge (Ranked 3rd)
- DeepHalo (Code currently unavailable) (Master's Thesis)
- Some of my SciComp-related repos:
- Term paper reproducing & analyzing the results of a paper applying continuous-time quantum random walks to the graph isomorphism problem (Python + HPC)
- Code related to the Computational Physics Lab course (P342) (Python)
- Code related to an advanced Computational Physics course (P452) (Python)
- Masters Lab 2 - Setup and analysis of Z-Scan data in nonlinear optics (Python)
- Masters Lab 1 - Data analysis and simulations of optical image processors using Fourier Optics (Python)
- Experiments with UMAP for dimensionality reduction (Python)
- Simple Random Walk written in C++ / CUDA C