Summary
Ryan Staten is a computational physicist based in Austin with a decade of experience applying astrophysics and data engineering to real-world AI problems. Currently training AI on complex physics domains at Mercor, he previously built large-scale data pipelines at Amazon and Whole Foods, leveraging AWS and diverse programming tools to move scientific and business data reliably. He holds a PhD in astrophysics from Southern Methodist University with contributions to DESI and ROTSE, and has taught and researched as an adjunct professor. Ryan pairs rigorous quantitative modeling in cosmology and general relativity with a creative problem-solving streak rooted in music and art, and brings the discipline of a former collegiate soccer athlete to collaborative, high-impact projects.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Southwestern University
Doctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at Southern Methodist University