As a scientist of computational biology at Sana, Shan leads bioinformatics efforts in pre-clinical studies for Sana’s hypoimmune PSC-derived pancreatic islet cell therapy, in development for the treatment of type 1 diabetes; see SC451.
Prior to Sana, he leveraged novel high-throughput approaches at ArsenalBio to better understand and engineer the immune system to eradicate solid tumors.
Shan has completed his PhD in the labs of Kathrin Plath and Jason Ernst at UCLA where he applied multi-omic assays and developed novel computational methods to establish universal principles of cell fate transitions using somatic-to-iPSC conversion as a platform.
PhD in Bioinformatics, 2020
University of California, Los Angeles
MSc in Bioinformatics, 2013
Johns Hopkins University
BSc in Bioinformatics and Math, 2012
Loyola University Chicago