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A3D3 Seminar: Ashley Villar
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US/Pacific
Description
Title: Time-domain Astrophysics in the Era of Big Data
Abstract:
The eruptions, collisions and explosions of stars drive the universe’s chemical and dynamical evolution. The upcoming Large Synoptic Survey Telescope will drastically increase the discovery rate of these transient phenomena, bringing time-domain astrophysics into the realm of “big data.” With this transition comes the important question: how do we classify transient events and separate the interesting “needles” from the “haystack” of objects? In this talk, I will discuss efforts to discover and classify unexpected phenomena using semi-supervised machine learning techniques. I will highlight the interplay between data-informed physics and physics-informed machine learning required to best understand the future LSST dataset of extragalactic transients.
Biography:
Ashley Villar is currently an Assistant Professor at the Pennsylvania State University. She was previously a Simons Junior Fellow at Columbia University and the Flatiron Institute. Professor Villar obtained her Ph.D. in Astronomy & Astrophysics from Harvard in 2020 and her Batchelor’s in Physics and Maths from MIT.
The A3D3 Seminar is a monthly lecture series that hosts scholars working across applied areas of artificial intelligence, such as hardware algorithm co-development, high energy physics, multi-messenger astrophysics, and neuroscience. Our presenters come from all four domain fields and include occasional external speakers beyond the A3D3 science areas, governmental agencies and industry. The seminar will be recorded and published in YouTube. To receive future event update, subscribe here.
Zoom: https://cern.zoom.us/j/63622996522?pwd=aTc1SmVZU2FSQXlRaDNwU2NvZFNWQT09
