Lin Wang joined as a postdoctoral researcher in the Mathematical Modelling of Infectious Diseases Unit at Institut Pasteur in September 2018. His research interests include infectious diseases (e.g. Dengue, influenza), mathematical and statistical epidemiology, epidemic modelling, serology, genomics, bioinformatics, network theory, machine learning, and data science. Currently, he is studying the role of antigenic and genetic diversity of Dengue viruses on their long-term circulation in endemic countries (e.g. Thailand). Prior to joining the Institut Pasteur, he was a post-doc in the School of Public Health at the University of Hong Kong, during which he developed an analytical framework for characterizing the dynamics underlying spatial spread of emerging epidemics. He obtained his PhD in Electronic Engineering from Fudan University at Shanghai in 2013.
Statistical and mathematical methods to characterize disease transmission from incomplete epidemiological data
To design effective ways to mitigate the spread of a pathogen in a population, it is important to first have a good understanding of the transmission characteristics of the pathogen as well as the […]
Use of sequences to identify drivers of pathogen spread
In order to understand the spread of infectious diseases, we are often interested in the transmission relationship between pairs of cases. The use of pathogen sequences has revolutionized our ability to characterize the relationship […]
Identifying the role of immunity in driving viral diversity – dengue case study
Dengue causes significant morbidity and mortality worldwide, with millions of symptomatic cases occurring throughout the central band of the world each year. Large increases in cases are often associated with a shift in predominant […]