At the University of Michigan, I specialized in the intersection of astrophysical spectroscopy and machine learning. My research focused on analyzing spectroscopic data from the earliest galaxies in the universe, observed by the James Webb Space Telescope. I joined MIDAS to enhance my scientific software packages with machine learning techniques. These upgrades included the automatic identification of spectral patterns and the efficient fitting of large chemo-dynamic models of ionized gas emission.
Vital Fernández
Schmidt AI in Science, 2023 Cohort, Alum
Current Role: Vital is a postdoc at the Space Telescope Science Institute at Johns Hopkins.
Deep Learning for spectral analysis for distant galaxies
