Stanford University
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Sean YT Lin, DVM, MPH
Biostatistician 2, Ophthalmology Research/Clinical Trials
Data Scientist, Ophthalmology Research/Clinical TrialsBioSean Lin is a Data Scientist within the Department of Ophthalmology. In this role, he focuses on applying advanced computational methods—including machine learning, deep learning, and biostatistics —to diverse, real-world health data. He has experience analyzing large-scale structured and unstructured datasets, such as electronic medical records (EMR/EHR) , insurance claims, and clinical text.
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Song Lin
Visiting Scholar, Chemistry
BioSong Lin grew up in Tianjin, China. After obtaining B.S. from Peking University in 2008, he pursued graduate studies at Harvard University working with Eric Jacobsen. He then carried out postdoctoral studies with Chris Chang at UC Berkeley. He started his independent career at Cornell University in 2016 and was promoted to Associate Professor in 2021 and Tisch University Professor in 2023. He then joined Stanford University as a Professor of Chemistry in 2026. Song has received several early-career awards, including the Sloan Fellowship, ACS Cope Scholar, National Fresenius Award, Tetrahedron Young Investigator Award, Thieme–IUPAC Prize, Cottrell Scholar Award, Camille Dreyfus Teacher-Scholar Award, NSF CAREER Award, MIT Technology Review Innovators Under 35, BMS Unrestricted Grant, Lilly Research Award, and EPA Green Chemistry Challenge. His dedication to education has been recognized with a Stephen and Margery Russell Distinguished Teaching Award from Cornell University and a Nobel Laureate Signature Award for Graduate Education in Chemistry from the American Chemical Society. He is currently an Associate Editor at Organic Letters, and he serves on the Editorial Advisory Board of Chem, Synlett, Tetrahedron, and Tetrahedron Letters as well as the Scientific Advisory Board of OWiC Technologies.
