Summary
Sean Yuan is an Associate Professor at City University of Hong Kong specializing in the interplay between epidemiological and evolutionary dynamics of viruses, with 11 years of research experience bridging genomic and serosurveillance to infer transmission. Trained at Duke (PhD in Computational Biology & Bioinformatics) and seasoned by postdoctoral and research roles at Imperial College London and NHRI, he develops models linking immune-driven viral evolution to population-level outbreak dynamics. His work combines theory and data to predict influenza and other viral incidences by accounting for herd immunity, age structure, and antigenic changes. Known for integrating evolutionary binding-avidity insights from his PhD into practical surveillance tools, he brings both deep computational expertise and laboratory-informed immunological perspective to public health modelling.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Computational Biology & Bioinformatics; Evolutionary Biology, Doctor of Philosophy (PhD), Computational Biology & Bioinformatics; Evolutionary Biology at Duke University
Master’s Degree, Microbiology and Immunology, Master’s Degree, Microbiology and Immunology at National Taiwan University
Chinese, English, Italian