Dr. Bee Luan KHOO
Associate Scientist, Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE)
Assistant Professor, City University of Hong Kong
Dr. Bee Luan Khoo is currently an Assistant Professor of Biomedical Engineering at the City University of Hong Kong (CityU). Dr. Khoo got her Ph.D. degree from the National University of Singapore, working on tumor models for prognosis evaluation. As a senior postdoctoral associate in the Singapore-MIT Alliance for Research and Technology, she developed microfluidic-based tools for rare cell detection.
Now Dr. Khoo's research group is focusing on detecting, prognosis, and characterization of disease heterogeneity using multidisciplinary techniques, including the design and utilization of microfluidic devices for personalized cancer management and evaluation. Dr. Khoo has authored more than 63 articles in top journals such as Energy & Environmental Science, Chemical Engineering Journal, Biosensors and Bioelectronics, Science Advances, Nature Protocols, etc., and held 9 patents pending or granted. Dr. Khoo was awarded the Young Investigator national grant award by the National Medical Research Council and recently received the Young Investigator award to support upcoming projects in disease detection via the Interstellar Initiative, funded by the Japan Agency for Medical Research and Development (AMED) and the New York Academy of Sciences. She is also the recipient of Innovators under 35 (Asia; MIT Technology Review) for her work on microfluidic devices with direct clinical relevance.
Apart from research, Dr Khoo and her team are also actively seeking opportunities to encourage young people to enter the field of biomedical engineering through the implementation of the Gifted and Talented Program schemes 2021-2023 organized by the Education Bureau, and received the CENG Outstanding Teaching Award for her efforts.
Postdoc (Singapore-MIT Alliance for Research and Technology)
PhD (National University of Singapore)
BS (Nanyang Technological University)
The development of Integrated Microsystems for Disease Detection
Improving patient treatment strategies and prognosis
How the tumor microenvironment affects cancer progression