is an Assistant Professor of Physics at the University of California, Riverside. He studies
immunology and pathogen evolution using methods from statistical physics.
Liz Finney studies computational epidemiology, immunology, and the evolution of viral pathogens. Most recently, she is working on a project involving SARS-CoV-2. In her spare time, she helps lead POWUR, a student-created group working to foster a climate of diversity, equity, and inclusion in physics.
Yirui Gao is interested in fitness inference from evolutionary histories using methods from statistical physics. Recently, she has been working on using polygenic models of adaptation to study HIV evolution.
Marco Garcia Noceda's research interests are in theoretical and computational immunology and information theory. His current work focuses on understanding the dynamics of the latent reservoir of HIV-1. Marco is also the recipient of a UC-MEXUS graduate fellowship.
Before joining UCR, Zhenchen Hong received his BS in Applied Physics from the University of Science and Technology of China in 2017. His research interests are focused on inferring the forces driving viral evolution using methods from statistical physics and machine learning.
Brian Lee is currently studying how cells use the information provided by their environment to make decisions. More generally, he is interested in cellular information processing and its relationship to decision theory. This includes topics such as immune cell decision making, cellular communication, cellular sensing, signal processing networks, and information theory.
Yunxiao Li is interested in understanding evolutionary constraints by analysing sequence data. Recently he's been working on identifying linkage and couplings among alleles from time-series sequence data of HIV-1 viruses.
Yawei Qin is interested in developing theory to explain how immune cells integrate signals from diverse receptors and process information. His work focuses on natural killer cells, a type of lymphocytes that play an important role in innate immune system