If you don’t work on important problems, it’s not likely that you’ll do important work. — Richard Hamming
We develop algorithms to investigate problems in biochemistry and molecular biology. From the encoding of heritable information in DNA to the structure and function of proteins, we are currently pursuing investigations that span a broad range of biological questions. Our research interests include pattern analysis in high-dimensionality data sets, evolutionary computation and optimization, and multivariate statistics. We apply our research to a variety of problems from biochemistry and molecular biology. We currently have projects underway in metabolomics, genomics, molecular evolution, and protein structure modeling. We are a part of
Knoesis - the Ohio Center of Excellence in Knowledge Enabled Computation.
