Position: Director, Center for Computational Pharmacology & Computational Bioscience Program
Organisation: University of Colorado Denver
Area of work: Bioinformatics
Member of: The Scientific Advisory Board (SAB)
Role in RD-Connect:
Larry Hunter is a member of the Scientific Advisory Board of RD-Connect.
Professor Lawrence E. (Larry) Hunter is the Director of the Center for Computational Biology and of the Computational Bioscience Program at the University of Colorado School of Medicine. His research interests include 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. He is also interested in automated processing of biomedical texts, anatomically realistic models of neural computation, and neurobiologically and evolutionarily informed computational models of cognition, as well as ethical issues related to computational bioscience.
After completing his PhD at Yale University in 1989, Larry worked for the National Institutes of Health as a computer scientist and section chief of NIH sections devoted to statistical and bioinformatic research. As one of the founders of the field of bioinformatics, Larry has 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 his 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.
Larry founded the International Society for Computational Biology (ISCB) and three annual conferences in computational biology: The Pacific Symposium on Biocomputing, the conference on Intelligent Systems for Molecular Biology and the Rocky Mountain Regional Meeting on Bioinformatics.