Fangchao Song
Fangchao Song is a scientist at LLNL. He was a postdoctoral fellow in Arkin Lab at Lawrence Berkeley National Laboratory. Fangchao worked on droplet-based high throughput method to reveal bacterial interactions in complex microbial community and profile the microbial physiology in different nutrients and environments, under the project of Ecosystems and Networks Integrated with Genes and Molecular Assemblies (ENIGMA). Before joining the lab, Fangchao was a graduate student working on mathematical modeling of polymerization and biodegradable polymer manufacturing. In 2010, he started a new journey in the microbiology world during his Ph.D research on microbial biofilms and their antibiotic resistance. Since then, he is fascinated by the complexity and orderliness of microbiome, and enthusiastic about designing new method by combining experiments and modeling to better understand the function and dynamics of microbiome. Fangchao obtained his B.S. from Shandong University in 2003, M.S. from Zhejiang University in 2010, and Ph.D. from Syracuse University in 2016, all in Chemical Engineering.