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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, Gerry details his research in applying machine learning techniques to astrophysics and astronomy. We also discuss his paper "Fast Radio Burst 121102 Pulse Detection and Periodicity: A Machine Learning Approach," which describes the techniques used to detect 72 previously undetected fast radio bursts at the Green Bank Telescope. We explore the types of data sources used for this project, challenges Gerry encountered along the way, the role of GANs and much more.
