Supervisors: Chris Matzner + Peter MartinInterstellar medium, early stages of star formation, working with observational data of star forming regions from Herschel Space Observatory and Dragonfly telescope.
Postdoctoral Fellow with Prof. Jo BovyStar clusters, star and stellar populations, spectral analysis, IFU spectroscopy
As a member in the SDSS-V collaboration, I work mainly on developing and running the spectral analysis pipelines for the Milky Way Mapper (MWM). My research focuses on analysing the chemo-dynamical properties of star clusters and stellar populations in the Milky Way and nearby dwarf galaxies. I also developed a real-time extraction GUI software for a new IFU instrument (IFU-M) designed for use on the Magellan/Clay telescope.
Assistant Professor, DADDAA & Statistical SciencesAstrostatistics and data science with multi-wavelength, large-area surveys; Galactic structure and dynamics; stars and stellar populations; dust and the interstellar medium; galaxy formation and evolution; scalable inference; Monte Carlo samplingPh.D. 2020, Harvard University
I am a Banting-Dunlap Postdoctoral Fellow jointly hosted between the
Department of Statistical Sciences, the Department of Astronomy &
Astrophysics, and the Dunlap Institute. My research focuses on using a
combination of astronomy, statistics, and computer science to combine and
analyze billions of stars and galaxies from wide-field imaging and
spectroscopic surveys to better understand the how galaxies like the Milky
Way form, behave, and evolve over time.