Kuan Rong Chan Lab, Researcher, Principal Research Scientist, Duke-NUS


Kuan Rong Chan

About me

I'm a Principal Research Scientist at Duke-NUS Medical School, with close to 15 years of research experience. My research applies system biology approaches to the field of virology, to understand how viruses cause disease in humans

People know me as:

Flavivirus Researcher

I have been researching on dengue viruses since my undergraduate years. Started my research career investigating how antibodies can enhance dengue virus infection.

Omics Research Data Scientist

My postdoc career started with handling and analysing big transcriptomics datasets. Further into my career, we ventured into proteomics and metabolomics, which provided deeper insights into how humans respond to viruses and vaccines.

Mentor & Instructor

I'm active in teaching undergraduate and post-graduate modules in Duke-NUS. Have also trained undergraduates and Ph.D. candidates, and many continue to pursue their passion in research after graduation


National University of Singapore (NUS)

PhD in NUS Graduate School of Integrative Sciences and Engineering (2008 - 2013)
BA of Science (Hons) in NUS (2004 - 2008)


What we do

Transcriptomics, omics, data science research

High impact discovery through gene expression and regulation research

Interpreting transcriptomics data to gain insights into biological mechanisms can be challenging. We develop multiple bioinformatic approaches, tools and pipelines to provide different perspectives of the data, ensuring that any gene expression data will be comprehensively analysed.

data curation, database, research, omics

Data curation as a pre-requisite to interpret omics datasets

We strongly believe that biological mechanisms from omics datasets can only be understood if we can compare with a larger number of datasets. Hence, in-house and publicly available datasets are routinely curated in our lab to build customised gene sets that can provide deeper biological insights.
web tools, streamlit, python, bioinformatics

Development of web tools for omics data analysis

Data analysis of omics datasets can be challenging, especially for non-bioinformaticians. We are hence interested in developing web tools for omics research so that researchers can divert their precious time on the science, rather than struggling with data analysis.
metabolism, metabolite, metabolomics, mass spectrometry, bioenergetics

Elucidate metabolic underpinnings behind flavivirus infection

How viruses exploit the host metabolites for productive infection is still largely unknown. Together with Yie Hou and Cui Liang from the SMART-MIT Alliance, we have the state-of-the-art mass spectrometry that allow us to measure metabolites in virus-infected cells and in blood plasma. We also have optimised workflows for measuring cellular bioenergetics in virus-infected cells, and hope to understand how genetic mutations in the virus genome can impact host cell metabolism and cellular bioenergetics.
education, python, bioinformatics, omics

Educate the young on applied bioinformatics

We are passionate about educating the younger generation on the current bioinformatics tools that are becoming essential for scientific research. We educate these contents in the undergraduate and post-graduate courses, and continue to train interns and PhD candidates so that they can apply this knowledge to their future research.

Our Lab Address

Duke-NUS Medical School

Programme in Emerging Infectious Diseases

8 College Road, Singapore 169857

+65 9005 8277