The Biomathematics Research Group (BRG) at UGA explores mathematical and computational models that connect genes to ecology. Our current direction of research includes: (i) integration of multiple omic technologies (transcriptomics, metabolomics, lipidomics, proteomics, etc) capturing the dynamics of host-pathogen interactions into mathematical, computational, and statistical models, and (ii) multi-scale epidemiology; particularly, our lab is building a continuous computational pipeline to integrate multi-omic data, within-host dynamics (i.e. pathogen vs. immune system), vector dispersal, and human movement. The BRG has expertise in mathematical modeling using a wide array of techniques, data management of very large and heterogeneous biological data sets, software development from micro-controllers to super-computers, and hardware design. The long-term research goal of the BRG is to build a computational facility capable of quantifying biological processes across multiple scales.
Learn more about research by the BRG
Funded cutting-edge research conducted at the BRG.
Publications in peer-reviwed journals and conferences, and pre-publications
in the ArXiv.
Past and present members of the BRG.
The BRG is committed to education. We created the Adaptive Learning
for Interdisplinary Collaborative Environments
Scientific multimedia, presentations, and source code.
What do we do? How do we do it? Learn about our lab.
Georgia Scientific Computing Symposium, February 28th, 2017 at UGA
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