Aaron C. Bell

This project is in collaboration with GRID, Inc. We are applying a variety of machine learning techniques to massive, all-sky astrophysical data sets. Our goal is to facilitate breakthroughs in big-astrophysical-data. This field suffers from two major limitations that we think machine learning can help with: 1) Heavy reliance on conventional models (which make very strong assumptions) 2) Too much data! We have more information coming in from satellites and telescopes than we are able to efficiently and thoroughly analyze.