Shuyi MA
Postdoctoral Scientist, Center for Infectious Disease Research, USA

Shuyi Ma works at the interface of computational and experimental systems biology, combining these approaches to drive discovery. She did her graduate work with Nathan Price at the University of Illinoisand the Institute for Systems Biology, where she harnessed statistical machine learning tools to identify transcriptome-based biomarkers that could diagnose multiple lung diseases, and modeled genome-scale metabolism and transcriptional regulation in the lung pathogen,Mycobacterium tuberculosis(MTB), which kills 1.8 million people each year. As a postdoctoral scientist with David Sherman at the Center for Infectious Disease Research, she has integrated novel omics-based experimental strategies with modeling approaches to reveal how MTB responds to drugs acting individually and in combination, in order to inform therapy design.