Fast Radio Burst Pulse Detection with Gerry Zhang – TWIML Talk #278

Today we’re joined by Yunfan Gerry Zhang, a PhD student in the Department of Astrophysics at UC Berkely, and an affiliate of Berkeley’s SETI research center. In our conversation, we discuss:

• Gerry’s research on applying machine learning techniques to astrophysics and astronomy.

• His paper “Fast Radio Burst 121102 Pulse Detection and Periodicity: A Machine Learning Approach”.

• We explore the types of data sources used for this project, challenges Gerry encountered along the way, the role of GANs and much more.

The complete show notes can be found at

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