Ke Li, PhD
Postdoc Associate | Yale School of Public Health | Department of Epidemiology of Microbial Diseases
Public Health Modeling Unit | 350 George St. | New Haven, CT 06510
Email: [email protected] | Twitter | Google Scholar
BSc (Honours) in Applied Mathematics — University of Sydney, Australia
PhD in Applied Mathematics — University of Melbourne, Australia
I was born and raised in China. After completing my high school education, I moved to Australia to study mathematics. During my undergraduate studies, I became interested in mathematical modelling and the application of mathematical models to solve real-world problems. Later, I became fascinated by our immune system and its interactions with different pathogens. This led me to pursue a PhD in applied mathematics, where I used computational methods to understand virus-macrophage interactions and the biological mechanisms that lead to high-pathogenicity for influenza viruses. During my PhD, I developed a mathematical framework that allowed for the study of macrophage dynamics in influenza virus infection, as well as in-depth statistical analysis for virological and macrophage kinetic data in a Bayesian framework.
In Nate’s lab, I will be focusing on developing statistical and/or mathematical models that allow for the study of different SARS CoV-2 datasets. Specifically, I will be using these models to understand the intrinsic transmissibility and immune escape processes for ever-changing SARS CoV-2 variants, as well as estimating vaccine effectiveness against different variants.
Outside of my research, I enjoy cooking, traveling, and watching soccer games. I am also a coffee lover.