The science world is sitting at the cusp of an artificial intelligence revolution that impacts applications such as speech recognition and computer vision. Peter Koo is on the front line of those changes. As 黑料吃瓜资源鈥檚 new Assistant Professor at the Simons Center for Quantitative Biology, Koo will explore how AI integrates with biology and genomics.
Koo鈥檚 background is as varied as it is impressive. He completed his Ph.D. in physics at Yale University and transitioned into genomics and computational biology for his postdoctoral fellowship at Harvard University. Along the way, he earned a Master鈥檚 in Financial Engineering at University of California, Berkeley, and had worked as a summer research fellow at NASA鈥檚 Jet Propulsion Laboratory and as a communications specialist in the United States Army Reserve.
During his postdoc, Koo interpreted how deep learning models learn and ways researchers can glean new scientific insights from that information. He鈥檚 continuing those investigations at CSHL, where he鈥檒l use the models to understand the functional consequences of genomic mutations. Currently, he鈥檚 studying how RNA-binding protein interacts with RNA.
Koo is excited about the prospect of potential collaborations, especially with Justin Kinney and David McCandlish, two of his colleagues at the Simons Center.
鈥淲e have in place already various people that are interested in similar problems,鈥� he said. 鈥淏ut we’re all approaching it from slightly different angles.鈥�
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