About
Xiao Wang is an Associate Professor in the School of Biological and Health Systems Engineering at Arizona State University (ASU). His research focuses on integrating synthetic and systems biology approaches to understand biological systems, combining forward engineering (synthetic biology) and reverse engineering (systems biology). He leads a multidisciplinary team with expertise in mathematics, physics, molecular biology, biomedical engineering, and computer sciences.
Education: Ph.D., University of North Carolina at Chapel Hill (2006); B.S., Tongji University, China (2000).
Research Interests: Synthetic Biology, Systems Biology, Gene Regulatory Networks, and Biomedical Engineering. His lab explores topics such as tunable microbial consortia, CRISPR-based genome editing tools, and predictive models of bacterial colony growth. Recent projects include engineering multistable gene networks and developing transient reporter systems for enhanced gene editing efficiency.
Grants & Activities: Active funding includes NIH-NIGMS (2014–2019), NSF-DMS (2011–2016), and AHA grants. Research emphasizes stochastic cellular state determination and synthetic biology applications. He teaches courses like Control in Biological Systems (BME 360) and oversees graduate and undergraduate research.
Labs & Teams: The Xiao Lab at ASU develops innovative tools for synthetic biology, including CRISPR-based systems (e.g., PINE-TREE, TREE) and predictive mathematical models. Collaborations span disciplines to advance biological engineering and systems-level understanding.
