Research · Nilesh Garg
I want to work on problems where mathematical models meet evidence. Astrophysics, particle physics, and quantum computing are distinct disciplines; the common thread for me is computation used carefully to investigate fundamental physical questions.
Research direction 01
Extracting physical information from noisy observational data, with interests in exoplanets, astronomical surveys, and statistical inference.
Research direction 02
Using simulations, statistical methods, and computation to connect fundamental physical models with measurable observations.
Research direction 03
Understanding quantum dynamics and developing computational approaches to quantum information and many-body systems.
Documented evidence
Projects below are distinct from the interests above. Links point to repositories with code or documentation; collaboration and scientific-publication status are labeled explicitly.
Collaborative scientific ML project
A team project using Kepler Objects of Interest data and machine learning to study exoplanet-candidate classification. The repository documents the pipeline, baselines, and evaluation.
Team work. See the repository for the project's results; individual contributions should be documented separately.
Independent research-tooling project
An arXiv-connected research agent and MCP server for mapping claims against existing literature, checking for counterevidence, and identifying testable questions.
Research infrastructure, not a peer-reviewed scientific result.
My academic background and experience are summarized on theacademic CVpage. For research discussions, code, reproducibility, or potential opportunities to contribute to a group, email me directly.
thenileshgarg001@gmail.com ↗