Kara Ponder

Berkeley Center for Cosmological Physics Computational Data Science Fellow


Personal home page

PLAsTiCC — Photometric Classification Challenge for LSST

Research Interests

Supernova Cosmology, Dark Energy, Data Science, LSST, WFIRST


My main research interests are exploring dark energy through supernova cosmology. I am currently working with Saul Perlmutter's group reducing the data for the Nearby Supernova Factory. As a graduate student at the University of Pittsburgh, I worked on the SweetSpot observing program with gathered nearby type Ia supernova light curves in the near infrared. 

I am also an active member of the Large Synoptic Survey Telescope (LSST) Dark Energy Science Collaboration (DESC). The latest project I worked on with this collaboration is the Photometric LSST Astronomical Time-Series Classification Challenge (PLAsTiCC), which is a publicly released classification challenge hosted on Kaggle.