Yunfan Gerry Zhang

Yunfan Gerry Zhang, a PhD student at UC Berkeley and SETI research center affiliate, dives into the fascinating intersection of machine learning and astrophysics. He discusses his groundbreaking paper on detecting fast radio bursts using innovative techniques. Highlights include the use of Generative Adversarial Networks for predicting cosmic signals and the challenges of processing immense astronomical datasets. Gerry also shares insights on detecting periodicity in signals and the transformative impact of AI in analyzing radio frequency data.