My research interests involve the development and application of advanced computational techniques to biomedicine, particularly the application of machine learning and statistical inference techniques to high-throughput molecular assays. I am also interested in automated processing of biomedical texts, anatomically realistic models of neural computation, and neurobiologically and evolutionarily informed computational models of cognition.
As one of the founders of the field of bioinformatics, I have explored applications of computational techniques to a wide variety of biological problems, including protein structure, macromolecular sequence analysis, combinatorial chemistry and managing the enormous biomedical literature. The current focus of my laboratory is on developing novel techniques for the analysis of gene expression array data for the inference of metabolic and signaling pathways from genetic, proteomic and transcriptional data, and for the management of large collections of biomedical documents. Our primary computational tools are the algorithms of machine learning and natural language processing.