Nikhil Garuda is an early-career researcher and software engineer specializing in observational and experimental cosmology, astronomy education, and data-driven science literacy projects. With six years of experience, he builds pipelines and algorithms—ranging from photometric catalogs and PSF generation for HST/JWST data to simulation-based halo analyses and minimization routines in Python and C—and deploys web tools to visualize and classify large article corpora. He combines a rare triple undergraduate focus in Astronomy, Statistics & Data Science, and Physics with hands-on roles as a technical lead and full-stack developer, bringing both scientific rigor and production engineering to research problems. Notably, he has created datasets used for photometric redshift estimation and trained neural-network classifiers on custom MOOC-derived corpora for NSF-funded work. Based in Austin and now pursuing a PhD in Astronomy at UT Austin, he aims to lead interdisciplinary teams that turn complex astrophysical simulations and observations into accessible science and actionable insights.
6 years of coding experience
4 years of employment as a software developer
The University of Arizona
Doctor of Philosophy - PhD, Astronomy, Doctor of Philosophy - PhD, Astronomy at The University of Texas at Austin
Contributions:7 pushes, 3 branches in 3 years 1 month
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