Research Assistant Professor, Department of Biochemistry, Yong Loo Lin School of Medicine, NUS
Research Cluster Lead, Wilmar-NUS Corporate Laboratory (Wil@NUS)
Principal Investigator, NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI)
Jee Loon received his Ph.D. in Biological Chemistry from the Australian National University in 2009. He had postdoctoral training in protein engineering and metabolic engineering at the Nanyang Technological University and the University of California, Berkeley. His research interests lie in the understanding and engineering of biological systems at the interface of chemistry and biology to confer novel functionalities. He has made contributions to the construction of metabolic pathways in microbes for biosynthesizing valuable biochemicals and engineering microbes to improve their properties for enhanced bioproduction. He serves as a reviewer for international journals such as Chemical Engineering Science, 3Biotech and Engineering.
Metabolic engineering of microbes for bioproduction of valuable chemicals
Protein engineering for novel and improved enzymatic functions for metabolic pathway construction
Synthetic genomics for understanding biological fundamentals
- Xia, P. F., Ling, H., Foo, J. L. & Chang, M. W. Synthetic genetic circuits for programmable biological functionalities. Adv. 37, 107393 (2019).
- Foo, J. L. & Chang, M. W. Synthetic yeast genome reveals its versatility. Nature 557, 647 (2018).
- Chen, B., Lee, H. L., Heng, Y. C., Chua, N., Teo, W. S., Choi, W. J., Leong, S. S. J., Foo, J. L. & Chang, M. W. Synthetic biology toolkits and applications in Saccharomyces cerevisiae. Adv. 36, 1870 (2018).
- Foo, J. L., Susanto, A. V., Keasling, J. D., Leong, S. S. & Chang, M. W. Whole-cell biocatalytic and de novo production of alkanes from free fatty acids in Saccharomyces cerevisiae. Bioeng. 114, 232 (2017).
- Foo, J. L., Jensen, H. M., Dahl, R. H., George, K., Keasling, J. D., Lee, T. S., Leong, S. & Mukhopadhyay, A. Improving microbial biogasoline production in Escherichia coli using tolerance engineering. MBio 5, e01932 (2014).