Austen Gabrielpillai
Research Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAusten Gabrielpillai is a research scientist blending 11 years of data science and software engineering experience with astrophysics to simulate galaxy formation and observational surveys. He has built end-to-end simulation tools—such as ESpRESSO for Roman Space Telescope slitless spectroscopy—and produced semi-analytic galaxy catalogs and synthetic wide-field images used for survey planning. His background spans large simulation suites (IllustrisTNG, Santa-Cruz SAM) and production-grade Python tooling for handling terabyte-scale outputs and bijective subhalo matching. Based in New York, he leverages interdisciplinary training from engineering physics to data science and a growing PhD track in astronomy to make reproducible tools and public data products for the community.
11 years of coding experience
3 years of employment as a software developer
Master of Astrophysics, Master of Astrophysics at The City University of New YorkDoctor of Philosophy - PhD, Astronomy, Doctor of Philosophy - PhD, Astronomy at Columbia UniversityUniversity of Illinois Urbana-ChampaignMaster of Information, Data Science, Master of Information, Data Science at Rutgers University
English
Github Skills (7)
simulation8
catalog8
elasticsearch6
data-catalog6
frontend6
python6
zombie5
Programming languages (3)
Github contributions (5)
aust427/aust427.github.io
Feb 2018 - Oct 2024
Contributions:53 pushes, 1 branch in 6 years 8 months
aust427/Subhalo-Particle-Visualizer
Nov 2018 - Oct 2020
Contributions:35 commits, 28 pushes, 1 branch in 1 year 11 months
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