Biography
Dr Lin Wang is an Assistant Research Professor at the Department of Genetics, University of Cambridge. He was previously at the Institut Pasteur and the University of Hong Kong. His research currently addresses virus evolution and immunobiology, developing quantitative and theory-guided approaches to characterise pathogen evolution, transmission, and pathogenesis. He has developed a range of inference and predictive methods that integrate diverse data sources (e.g., genomics, serology, longitudinal cohorts) with advanced computational approaches (e.g., Bayesian inference, deep learning, causal inference, protein biology). He is an elected member of the Global Young Academy. He serves as a Guest Editor for PLoS Neglected Tropical Diseases, and an Academic Editor for PLOS Computational Biology and BMC Medicine.
ResearcherID: B-4145-2013
Google Scholar: Lin's Google Scholar
Research
Evolution & Adaptation, Infectious Disease Immunobiology, Antigen Discovery, Vaccine design, Serology, Modelling, Interpretable AI, Bayesian inference, Causal Inference
Publications
- Lin Wang *, et al. Decoding antigenic evolution of influenza A/H3N2 virus by pathogen genomics and deep learning, Nature Communications, in revision (2025)
- Lin Wang, et al. Antigenic distance between primary and secondary dengue infections correlates with disease risk. Science Translational Medicine (2024)
- Y. Chen, Y. Xu, Lin Wang (†), et al. Indian Ocean temperature anomalies predict long-term global dengue trends. Science (2024)
- Z Du, Lin Wang (†), et al. Modeling comparative cost-effectiveness of SARS-CoV-2 vaccine dose fractionation in India. Nature Medicine (2022)
- ST Ali, Lin Wang (†), et al. Serial interval of SARS-CoV-2 was shortened over time by nonpharmaceutical interventions. Science (2020).
- Lin Wang & JT Wu. Characterizing the dynamics underlying global spread of epidemics. Nature Communications (2018)
(† = co-first authors, * = corresponding author)
