Lin is an Assistant Research Professor at the Department of Genetics, University of Cambridge. He is an elected member of the Global Young Academy. He was previously at the Institut Pasteur and the University of Hong Kong. With a background in physics and engineering, he studies infectious disease immunobiology and evolutionary biology, with applications in risk assessment, vaccine design, and synthetic serology. His research integrates diverse data sources (e.g., genomics, serology, challenge study) and modelling techniques (e.g., Bayesian inference, causal analysis, representation learning, manifold learning). He has developed a set of inference and predictive methods to enhance the understanding of evolution, transmission, and pathogenesis for seasonal pathogens (e.g., dengue, influenza, RSV) and emerging pathogens (e.g., pandemic influenza, SARS-CoV-2). He also made contributions to quantify the impact of large-scale climate patterns and population movements on the global outbreaks of dengue and influenza. He has published >80 research articles in peer-reviewed journals, including Science, Nature, Nature Medicine, Science Translational Medicine, and PNAS. He is developing new frameworks to decode the principles of pathogen evolution and human immune adaptation by integrating genomics, genetics, protein biology, biochemistry, serology, immunology, and vaccinology. His long-term career goal is to elucidate the trajectory and mechanisms of human immune adaptation shaped by various selective pressures, and design proactive strategies by fine-tuning vaccines and serology assays. He has organised three workshops on computational biology and machine learning. He is an Associate Editor for BMC Medicine and a Guest Editor for PLoS Neglected Tropical Diseases. He received the University of Cambridge Research in Genetics Day Best Poster Award in 2024 and the Best Talk Award at the International Conference on Molecular Epidemiology and Evolutionary Genetics in 2018.