Satellite Quenching via Machine Learning

Professor: Mike Cooper

Description: Applying machine learning techniques to spectroscopic data from the SDSS/GAMA along with imaging data from the Legacy Survey and LoVoCCS, with the goal of studying quenching of low-mass galaxies in the local Universe. 

Preferred Qualifications: ​​programming skills (preferably python).