Lead Scientist, Systems Biology
Lead Scientist, Systems Biology

Dr. Wiley combines the techniques of molecular and cellular biology with both biochemical and optical assays. The results are used to build computer models of underlying cellular processes. He is the author or co-author of more than 160 scientific publications, including more than 115 articles in peer-reviewed scientific journals and 25 review articles and book chapters. He also has written several commercial graphics and data analysis software packages. Dr. Wiley has served as a reviewer for more than 30 scientific journals, is an Associate Editor of Frontiers in Genetics and is on the editorial board of The Scientist and BMC Biology.

Education 

  • B.A. 1974 Biology, University of Tennessee-Knoxville
  • Ph.D. 1979 Biochemistry/Cell Biology, University of Tennessee-Oak Ridge School of Biomedical Sciences

Awards & Honors

  • Award for Distinguished Technical Communication, 2011
  • Faculty of 1000 member for Cell Biology, 2011
  • Elected AAAS Fellow, 2005
  • R&D 100 award for designing single-chain antibody library in a yeast-display system, 2004
  • Laboratory Fellow at Pacific Northwest National Laboratory, 2000
  • NIH Research Career Development Award, 1988-93
  • Phi Kappa Phi Honor Society, University of Tennessee, Knoxville, 1979

Research Interests 

Dr. Wiley's research interests are focused on understanding the systems-level design principles that underlie regulatory networks in both prokaryotic and eukaryotic cells. This work also focuses on how these regulatory networks become dysfunctional in diseases, such as cancer, and how they can be modified for both therapeutic and biological engineering applications. More recently, his work has focused on using new CRISPR-based technologies in combination with proteomics, gene expression and biochemical assays to build improved mechanistic models of signaling and metabolic networks. This work requires the creation of a scalable computational infrastructure for integrating multidimensional data sets as well as development of the underlying analytical technologies.