The BiRG lab is not currently holding regular lab meetings. Interested students may contact Dr. Michael Raymer for more information.
About the BiRG
If you don’t work on important problems, it’s not likely that you’ll do important work. — Richard Hamming
From the encoding of heritable information in DNA to the structure and function of proteins, the students and faculty of the BiRG lab use the tools of machine learning and biologically-inspired algorithms to explore a broad range of scientific questions. Our research interests include pattern analysis in high-dimensionality data sets, evolutionary computation and optimization, machine learning, and especially deep learning models. We apply these techniques to problems spanning the fields of metabolomics, genomics, molecular evolution, protein structure modeling, sensors and computer vision, and natural language processing.