Summary
Hong Pan is a principal scientist and experienced bioinformatician based in Singapore with two decades of work spanning A*STAR institutes and the pharmaceutical sector, applying computational and statistical methods to large-scale multi-omics and cohort studies. He specializes in dissecting molecular patterns of cardiometabolic health and multimorbidity, with a strong focus on predictive models tailored to Asian populations using cohorts such as GUSTO, UK Biobank, Biobank Japan and China Kadoorie Biobank. His career blends deep methodological contributions—epigenomics, methQTL tools (GEM), and NGS methylation processing—with translational impact like identifying epigenetic mediators of maternal nutrition effects on offspring outcomes. Hong combines software engineering, machine learning and domain knowledge from earlier work in text-mining and knowledge discovery to build reproducible pipelines and analytic packages. He holds a PhD in Biomathematics/Bioinformatics from Nanyang Technological University and is known for collaborative, cross-disciplinary projects with clinicians and international cohorts. Unexpectedly, his background includes pioneering bioinformatics software and licensed tools from early career work in information mining, reflecting a long-standing blend of computational rigor and practical tool-building.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD) Biomathematics Bioinformatics and Computational Biology, Doctor of Philosophy (PhD) Biomathematics Bioinformatics and Computational Biology at Nanyang Technological University, School of Computer Science and Engineering
Masters Electronics and Computing, Masters Electronics and Computing at Nanyang Technological University Singapore