Summary
Ethan Richards is a graduate physics student and data scientist with a strong foundation in Python, Linux, and scikit-learn, who applies machine learning to nuclear data problems. He modernized and reclassified ENDF neutron resonance databases at Brookhaven National Laboratory, demonstrating an ability to learn domain-specific science quickly and translate research needs into practical ML solutions. A Rensselaer Polytechnic Institute alumnus now returning for graduate research in astrophysics, he combines rigorous analytical training with collaborative communication skills honed in academic settings. Eager to pivot deeper into data science roles, he brings ten years of technical experience, a hands-on approach to unfamiliar challenges, and a proven track record of making legacy scientific datasets more usable and reliable.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Rensselaer Polytechnic Institute