Yimei Li is a fourth-year Ph.D. student in Quantitative and Computational Biology at Princeton University. She joined the Levin Lab in May 2022, where she began studying mathematical models for the ecology and evolution of infectious diseases, especially their cross-scale dynamics. Before that, she worked on dynamical models of dengue incidence. She is interested in human–virus interactions and uses mathematical, statistical, and computational approaches to study pathogens across scales—from genomes and cells to withinhost processes and population-level dynamics. Currently, she is developing statistical and machine learning methods for forecasting infectious disease outbreaks, applying AI to study virus dynamics across scales, and investigating the role of defective interfering particles (DIPs) in influenza evolution, immune responses, and therapeutic potential.