Professor Chen received his university education (both B.Sc. and D.Sc.) from Universite Catholique de Louvain in Belgium.
Professor Chen joined NTU as an Associate Professor in 2002, and received his tenure award (Associate Professor) in 2008. He was promoted to tenured Full Professor of Biomolecular Engineering in 2011. At the University level, Professor Chen is the Director of Food Science & Technology Education Programme. He is concurrently in charge of the Graduate Education Office at Nanyang Environment & Water Resource Institute (NEWRI).
Professor Chen’s research is highly inter-disciplinary with a strong focus on cellular bioengineering platforms for pharmaceutical and environmental applications. His current research is in the area of metabolic and microbial engineering toward production of valuable chemicals including biofuels, as well as environmental engineering for resource recovery and sustainable food production. His research in converting food waste to high value food ingredients using microbial engineering was covered in a recent episode of Future Forward by Channel News Asia (Jan 2015), in which he also shared his views on sustainable food supply.
Professor Chen is active as PI and Co-PI of competitive external research grants, totaling more than S$12 million. He has published extensively (with more than 151 papers) in peer-reviewed international journals, and has been invited as a Plenary Speaker at various international conferences.
1. Biomolecular Engineering for Environment-Host Interactions
2. Proteomics Platform for Clinical Biomarkers
3. Metabolic and Microbial Engineering for Valuable Chemicals
4. Environmental Engineering for Resource Recovery
5. Sustainable Production of Food Ingredients
Research Interest in the Neuroscience of Learning and Education
Our lab has research track record in applying ‘-omics’ technologies, in particular proteomics and metabolomics, to address various research questions including environment-host interactions and clinical biomarker identification. We have published more than 50 ‘-omics’ related papers over the past few years.
We propose to apply this technology platform to establish a saliva metabolomics in the context of Neuroscience of Learning and Education. The biomarkers identified under different learning conditions should provide CRADLE with a quantitative measurement of the Neuroscience of Learning and Education.