Tim received his B.S. in Biology in 2013 from Indiana University. He is broadly interested in the evolutionary ecology of infectious disease and uses a mix of both theoretical and experimental approaches to explore within-host infection dynamics of P. aeruginosa in C. elegans and other systems. He is also interested in strategies to manage and mitigate the spread of antimicrobial resistant infections.
Jennifer received her B.S. in Biology in 2015 from the Georgia Institute of Technology where she worked with Will Ratcliff on the evolution of multicellularity. She is now a biology PhD student at Tech focusing on the social lives of microbes. Her interests span from single cell interactions to population level behaviors and large group dynamics. Jennifer is interested in the application of traditional themes of ecology and evolution on new systems in biology and works primarily with Pseudomonas aeruginosa. Her work is supported by a predoctoral fellowship from the National Science Foundation.
Find her on Twitter @jenniferbethann
Stephen Thomas is a PhD student in the Quantitative BioSciences program. His research focuses on modeling community dynamics and interaction networks. As a PhD student in the Quantitative BioSciences program, Stephen focuses on mathematical models for bacterial communities. His research incorporates non-linear dynamics and network science. Its goal is a better understanding how bacterial communities assemble and evolve with potential applications to the treatment of polymicrobial infections and other diseases.
Juan Castro is a PhD student in the Bioinformatics program. He is currently exploring how genetic information of bacterial genomes relates to phenotypic traits. His focus is the use of machine learning and mathematical model to find structure and patterns in large datasets. His research is intended to better understand how evolutionary mechanisms shape bacteria abilities to process information and better respond to novel environments.
Mengshi Zhang received her B.S. in Biotechnology from SUSTC then she switched to the Department of Physics at the CUHK for her master degree (MPhil). She was devoted to quantitative descriptions of biological phenomena and the QBios Program at the Georgia Tech is the best fit for her. She has backgrounds in system biology and synthetic biology, experience in wet labs and dry labs. She is currently rotating in Dr. Brown’s lab and working on modeling quorum sensing (QS) dynamics with Dr. Yifei Wang.
Eunbi Park is a Bioinformatics Ph.D. student at Georgia Tech. Her research background is mostly about microbiology, and she is currently rotating at Brown Lab.