Chang C. Liu

Chang Liu
Chang C. Liu
Assistant Professor
Department of Biomedical Engineering
Department of Chemistry
Department of Molecular Biology and Biochemistry
Center for Complex Biological Systems
Chao Family Comprehensive Cancer Center

Education
Miller Postdoctoral Fellow (2009-2012), UC Berkeley
Ph.D. in Chemistry (2009), Scripps Research Institute
B.A. in Chemistry (2005), summa cum laude, Harvard

Awards
Sloan Research Fellow
NIH New Innovator Award
Beckman Young Investigator Award
Dupont Young Professor Award
Miller Fellowship
Hertz Fellowship
NSF Graduate Fellowship
United States Presidential Scholarship

Chang Liu is an Assistant Professor of Biomedical Engineering, Chemistry, and Molecular Biology and Biochemistry at UC Irvine. Liu was born in 1982 in Shanghai, China and grew up in Tucson, AZ. Starting at a young age, Liu pursued a career as a concert pianist, but shifted his primary interest to chemistry when he was a sophomore at Harvard, where he conducted undergraduate research with Professor Stuart Schreiber. After graduating summa cum laude from Harvard in 2005 with a bachelor’s degree in chemistry, Liu joined the laboratory of Professor Peter Schultz at the Scripps Research Institute. There, he expanded the genetic code of bacteria for the co-translational incorporation of otherwise post-translational modifications and provided the first demonstrations that expanded genetic codes can be selectively advantageous in the evolution of novel protein function. Liu earned his PhD in chemistry in 2009, after which he became a Miller Fellow at UC Berkeley. Working with Professor Adam Arkin, Liu conducted research in the field of synthetic biology and developed methods for the predictable creation of complex regulatory systems. In January 2013, Liu started his lab at UC Irvine.

Professor Liu’s research is in the fields of synthetic biology, chemical biology, and directed evolution. He is particularly interested in engineering specialized genetic systems for rapid evolution and creating synthetic organisms that use new building blocks for their informational and functional macromolecules. These systems can then be widely applied for the engineering, discovery, and understanding of biological function.