Title: Flashes of light from the sky to the brain
Abstract: In the sky: the Legacy Survey of Space and Time (LSST) on the Vera C. Rubin Observatory will generate a data deluge: millions of astronomical transients and variable sources will need to be classified from their light curves. The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC) was born out of the need to simulate a variety of astronomical transients in a Rubin-like sky. It ran as a community classification challenge in 2018. The second generation of this challenge, the Extended LSST Astronomical Time-series Classification Challenge (ELAsTiCC) was an expert challenge to broker teams themselves to classify alert streams. I'll discuss these challenges and the work within DESC to prepare for Rubin data.
Looking to the brain: I'll describe work using astronomical image analysis techniques applied to high-resolution images of the brain to search for signs of neurodegeneration and describe the processes that generated this interdisciplinary research.