Research direction 01
Astrophysics & astronomical data
Extracting physical information from noisy observational data, with interests in exoplanets, astronomical surveys, and statistical inference.
University of Houston · Honors College · Physics
Physics, computation, and questions worth investigating.
I'm Nilesh Garg, an undergraduate physics student interested in computational and theoretical approaches to astrophysics, particle physics, and quantum computing. I build scientific software and explore how numerical models and data can test physical ideas.
Scientific direction
Three fields. A common set of methods.
My interests span different physical scales, but share a practical toolkit: mathematical modeling, computation, and careful treatment of uncertainty. These are research interests, not claims of completed research in every field.
Research direction 02
Particle physics & computation
Using simulations, statistical methods, and computation to connect fundamental physical models with measurable observations.
Research direction 03
Quantum computing & quantum systems
Understanding quantum dynamics and developing computational approaches to quantum information and many-body systems.
Evidence of work
Selected projects
Collaborative scientific ML project
Exoplanet detection from Kepler data
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.
AstrophysicsMachine learningKepler
Inspect team repository ↗Independent research-tooling project
Aletheia: scientific literature mapping
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.
Research toolingarXivPython
Inspect code and documentation ↗Background
A physics student who builds things.
I study physics at the University of Houston Honors College. My background includes computational research and software projects across scientific literature, machine learning, and data analysis. I'm interested in graduate research where physical insight and computation reinforce one another.