Our group is interested in synthetic biology and systems metabolic engineering in whole-cell and cell-free systems. We develop in silico and experimental methods to search and design chemical and biological networks constrained by experimental data. The applications of our work include synthetic metabolic pathway design, build and test for bioproduction, biosensing, and biocomputing. Other activities include structure-activity, sequence-function relationships, and design of experiments using active and reinforcement machine learning methods.
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