Tong Si, Ph.D.
Shenzhen Institutes of Advanced Technology (SIAT)
Chinese Academy of Sciences (CAS)
1068 Xueyuan Avenue, Shenzhen University Town
Nanshan, Shenzhen, P. R. China, 518055
E-mail: tong.si@siat.ac.cn
Research Website: http://isynbio.siat.ac.cn/sitonglab/
Research Areas
Process automation: Synthetic biology applies engineering principles to construct artificial biosystems with predictable functions. Lacking design rules, it remains slow, expensive and inconsistent. Our group aims to develop robotic foundries to accelerate the design-build-test-learn cycles for engineering biology. We envision living organisms to be rationally designed and robotically manufactured, the way humans create other artifacts.
Biomolecular engineering: Biology is fascinatingly complex. We push the limit of synthetic and analytical throughput to study natural and engineered microbial diversity, with the goal of understanding and reprogramming biochemistry for industrial and biomedical applications.
Education
B.S., Chemistry & Biology, Tsinghua University, July 2009
Ph.D., Chemical Engineering, UIUC, December 2014
Experience
Work Experience
Professor, Institute of Synthetic Biology, SIAT, CAS, 2019-date
Postdoctoral Research Associate, UIUC, 2014-2019
Publications
Papers
[2] Tong Si, et al. Automated multiplex genome-scale engineering in yeast. Nature Communications. 8(2017): 15187
[3] Tong Si, et al. Profiling of microbial colonies for high-throughput engineering of multistep enzymatic reactions via optically guided matrix-assisted laser desorption/ionization mass spectrometry. Journal of the American Chemical Society. 139(2017): 12466-12473
[4] Ran Chao, Shekhar Mishra, Tong Si, et al. Engineering biological systems using automated biofoundries. Metabolic Engineering. 42(2017): 98-108
[5] Ran Chao, Jing Liang, Ipek Tasan, Tong Si, et al. Fully automated one-step synthesis of single-transcript TALEN pairs using a biological foundry. ACS Synthetic Biology. 6(2017): 678-685
Research Interests
Process automation: Synthetic biology applies engineering principles to construct artificial biosystems with predictable functions. Lacking design rules, it remains slow, expensive and inconsistent. Our group aims to develop robotic foundries to accelerate the design-build-test-learn cycles for engineering biology. We envision living organisms to be rationally designed and robotically manufactured, the way humans create other artifacts.
Biomolecular engineering: Biology is fascinatingly complex. We push the limit of synthetic and analytical throughput to study natural and engineered microbial diversity, with the goal of understanding and reprogramming biochemistry for industrial and biomedical applications.
Students
现指导学生
付立豪 博士研究生 071005-微生物学
倪浩然 硕士研究生 086000-生物与医药