Bin Shao, Ph.D.
Computational Methods Developer
Bin Shao is a computational methods developer in the Klarman Cell Observatory at the Broad Institute of MIT and Harvard. Shao's research primarily focuses on developing advanced deep-learning methods for modeling large-scale single-cell atlases. His research aims to identify cell-type- and organ-specific differences in inflammatory bowel disease and the cellular and transcriptomic changes associated with this condition. Additionally, he is working on developing computational tools for analyzing high-throughput chemical screening datasets to gain insights into the impact of microbiomes on human health.
Prior to joining the Broad Institute in September 2022, Shao completed his postdoctoral training in Philippe Cluzel’s lab in the Department of Molecular and Cellular Biology at Harvard University, and Christopher Voigt’s lab at the Synthetic Biology Center at MIT. During a collaboration with the scientists from National Institute of Standards and Technology, Shao developed a measurement standard that is the first approach to quantify the central dogma in bacteria cells at single-molecule resolution.
Shao obtained his Ph.D. in computational biology from Peking University in Beijing, China, where he focused on the biological network inference and dynamic systems. He also holds a bachelor’s degree in physics from the same institution.