Jt Appt - Associate Professor, Biochemistry, Yong Loo Lin School Of Medicine
Jt Appt - Associate Professor, Biochemistry, Yong Loo Lin School of Medicine
Doctor of Philosophy, Imperial College London, United Kingdom
Bachelor of Engineering (Elect & Electr Eng) Hon Class 1, Nanyang Technological University, Singapore
Dr. Chueh Loo POH is an Associate Professor with the Department of Biomedical Engineering (BME) at National University of Singapore (NUS). He is co-program director for the graduate programs at BME. He is a Principal Investigator at NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI) and leads the NUS Biofoundry. He is also deputy director of SINERGY, Singapore consortium for Synthetic Biology.
Dr Poh’s research interests in Synthetic Biology focuses on microbial biosensors, optogenetics, biotechnology and DNA data storage. His group has been reprogramming microbes for health and sustainability applications. He also leads the award-winning NUS iGEM teams, the premier international student competition in Synthetic Biology. He is currently vice-chair of the Global Biofoundry Alliance (GBA) steering committee and the co-Editor-in-Chief of Wiley/IET Engineering Biology journal.
Recent news
4. Inter-disciplinary team of NUS students clinch 3rd place in global synthetic biology competition
The Engineering Biology Lab at NUS focuses on Synthetic Biology in which we apply engineering principles to design and build microbes with useful capabilities for biomedical and industrial applications, with special interest in engineering novel living biosensors for applications in health, sustainable biomanufacturing, and DNA data storage. To this end, we have been “reprogramming” microbes as living biosensors to fight infectious causing pathogen, light/thermal controllable living biosensors for biomanufacturing, and biosensors for ultra-high throughput screening.
At the same time, we are developing foundational platform tools to accelerate the design and engineering of the microbes along the design-build-test-learn cycle. This includes computer aided design and modelling tools for SynBio and biofoundry for rapid prototyping We combine both experimental and computational approaches in engineering our microbes.
We are highly motivated to make engineering of biology more efficient and predictive so that we can scale complexity in order to create novel solutions to tackle global challenges.
My Mentoring Style
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Selecting Research Topics?
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Setbacks / Challenges
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Feedback
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Research Group Meetings
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