Summary
Gillen Brown is a research staff member and astrophysicist turned data scientist with 11 years of quantitative research experience and a PhD from the University of Michigan. He specializes in large-scale data analysis, Bayesian modeling, Python and C development, and has handled datasets up to 60 TB from supercomputer simulations and Hubble observations. At IDA he supports operational evaluation for major software and satellite communications, applying scientific rigor to defense-scale systems. He has four peer-reviewed publications, a track record of securing grants and compute time, and substantial teaching and communication experience from classroom instruction to talks for diverse audiences. Willing to relocate within the US, he brings a blend of independent problem solving, production-oriented coding, and clear stakeholder communication that helps bridge research and operational needs.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Astronomy and Astrophysics, GPA: 4.0/4.0, Doctor of Philosophy - PhD, Astronomy and Astrophysics, GPA: 4.0/4.0 at University of Michigan
Bachelor of Science - BS, Physics, GPA 4.0/4.0, Bachelor of Science - BS, Physics, GPA 4.0/4.0 at University of Missouri-Kansas City