University of Georgia
Understanding and forecasting infectious disease dynamics with the goal of improving public health outcomes and policies; specialize in integrating population-level infectious disease data with epidemiological models through statistical analysis and simulation; primarily work on respiratory viruses like influenza and COVID-19, among others.
Multi-modal signaling between plants and insects, evolution and mechanism of inter-species interactions. Techniques include insect behavior, chemical ecology, and phylogenetics.
Biology education; Understanding student scientific development; Biological modeling in classrooms; Instructor reasoning in non-traditional classrooms
The research in Dr. Li’s laboratory combines biochemistry, genetics, adductomics and computational approaches to investigate effects of epigenetics and spatial genome organization on environmental carcinogen-induced DNA damage formation, DNA repair, mutagenesis, and carcinogenesis.
Traumatic brain injury: brain network under biomechanical attack, understanding the networked brain through its injury, injury biomechanics, network neuroscience.
Characterization and modeling of antimicrobial resistance and disease transmission in air and water and the implications for human and environmental health.
Statistical and computational methods for phylodynamic inference.
Post-transcriptional regulation of gene expression and control of mRNA-protein dynamics by RNA helicases in normal conditions and cell stress.
The rules of microbial community formation to restore and engineer beneficial communities for crops under climate stress and human disease states.
