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Contributed talk 5: Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation with Real LIGO Data
Daniel George

Fri Dec 08 02:40 PM -- 03:00 PM (PST) @

Author Information

Daniel George (University of Illinois at Urbana-Champaign)

Daniel George is a PhD student in Astronomy, with a fellowship in Computational Science and Engineering (CSE), at the University of Illinois at Urbana-Champaign. He obtained his Bachelor's degree in Engineering Physics from IIT Bombay. He is currently a Research Assistant in the Gravity Group at the National Center for Supercomputing Applications (NCSA), a member of the LIGO, NANOGrav, and Dark Energy Survey (DES) collaborations, and an LSST Data Science Fellow, working at the interface of deep learning, signal processing, high-performance computing, and gravitational wave and multimessenger astrophysics. His long-term interests lie in applying cutting-edge computer science and technology, especially artificial intelligence, to accelerate discoveries in the fundamental sciences.

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    Tobias Hagge · Sean McGregor · Markus Stoye · Trang Thi Minh Pham · Seungkyun Hong · Amir Farbin · Sungyong Seo · Susana Zoghbi · Daniel George · Stanislav Fort · Steven Farrell · Arthur Pajot · Kyle Pearson · Adam McCarthy · Cecile Germain · Dustin Anderson · Mario Lezcano Casado · Mayur Mudigonda · Benjamin Nachman · Luke de Oliveira · Li Jing · Lingge Li · Soo Kyung Kim · Timothy Gebhard · Tom Zahavy