Lynall, Rob
![Lynall_Rob Lynall_Rob](https://ils.uga.edu/wp-content/uploads/sites/34/2024/07/Lynall_Rob-250x250.jpg)
Rob Lynall, PhD, ATC
Associate Professor
Neuroscience
Functional movement and motor control following concussion, the biomechanics of head trauma, and clinical concussion management.
Functional movement and motor control following concussion, the biomechanics of head trauma, and clinical concussion management.
Dr. Strauss takes a cognitive and affective neuroscience approach to examining motivational and hedonic deficits in adults with schizophrenia and youth at clinical high risk for psychosis.
Developing novel therapeutic strategies for colon and breast cancer, both in vitro and in vivo; Identifying and characterizing novel molecules in the tumor microenvironment that influence cancer progression; Studying exosomal miRNAs and their role in cancer metastasis.
Population genomics and evolution of pathogenic bacteria, antimicrobial resistance, genomic epidemiology, precision diagnostic.
Using plant and microbial synthetic biology to study and design plant form/function, engineer plant microbiomes, and aid biological carbon sequestration.
Our research aims to elucidate the mechanism of membrane transporters, flippases, and polymerases involved in bacterial cell wall biosynthesis, unravel how their function influences bacterial adaptation, discover inhibitory molecules for the development of new antimicrobials, and repurpose the activity of these proteins for applications in the synthesis of glycoconjugates. Our lab uses a multidisciplinary approach, combing techniques such as single-particle cryo-electron microscopy (cryo-EM), x-ray crystallography, live cell assays, and various buichemical/biophysical methods to study the function and molecular mechanism of membrane proteins.
Adverse neurological outcomes; Host-Microbe-Chemical (3-way) interaction; C. elegans model organism.
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.