University of Georgia
Using plant and microbial synthetic biology to study and design plant form/function, engineer plant microbiomes, and aid biological carbon sequestration.
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.
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.
Invertebrate microbiomes; nematode ecology and evolution; benthic and deep-sea habitats; using environmental DNA for biomonitoring
Multi-drug resistance(MDR) causes most cancer deaths(Nat. Rev. Cancer 2018, 18, 452). We use organic chemistry, cell biology and data-science to overcome MDR.
Marine microbial ecology; phytoplankton physiology; ocean biogeochemistry; environmental bioinformatics
Molecular and cellular mechanisms of brain tumors; oncohistone mutations; human ES cell-based tumor modeling; tumor heterogeneity and evolution
