Engineering dynamic RNA control systems for high-level production of aromatic compounds.
Engineering ultrasensitive RNA aptamer nanodevices through time-resolved computational design as metabolic sensors for high-throughput quantitative analysis
Quantifying functional constraints on the acquisition of novel metabolic activities through large-scale design space mapping.
In our work, we combine quantitative RNA device engineering (Science 2011), large-scale computational simulation analysis and metabolic pathway design (Nature Biotech. 2012; ACS Synth. Biol. 2015) for projects in fundamental and applied synthetic biology.
B.S., Yale University, Molecular Biophysics and Biochemistry, 1998
Ph.D., Harvard University, Biological Chemistry and Molecular Pharmacology, 2005.
University of California, Berkeley, Jane Coffin Childs Research Fellow, 2006-2009