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Ziyi Mo

Ph.D. Student

Mo is a Ph.D student in the Watson School of Biological Sciences who is interested in applying machine learning methods to detect natural selection in the genome. Specifically, he is experimenting with features extracted from ancestral recombination graphs (ARGs) to detect signals of selection. He holds a B.S. in Biology from NYU Abu Dhabi. Mo joined the Siepel Lab in mid-2019.