PhD Doctor of Philosophy candidate
Predicting Galaxy Properties with Machine Learning
Taking images of galaxies is relatively straightforward, but determining a galaxy's properties from images is challenging for many reasons. Using a synthetic "galaxy image creator", we will create mock galaxies for which we know the intrinsic properties, and train a machine learning model to accurately predict those properties.
Emission Lines in Nearby Galaxies
Learn data reduction techniques and data analysis skills using a unique set of spectroscopic observations of galaxies taken with the 5m Palomar Telescope. Using these observations, we can detect emission lines in the spectra of these galaxies to learn about their star formation processes.