Bill Cannon

Bill Cannon is a Computational Scientist at Pacific Northwest National Laboratory (PNNL) and affiliated with the Department of Mathematics at the University of California, Riverside. His research focuses on computational biophysics, biochemical systems modeling, and high-performance computing. He holds a B.A. in Chemistry from the University of California, Santa Cruz, a Ph.D. in Biochemistry and Biophysics from the University of Houston, and a postdoctoral fellowship in enzymology at Pennsylvania State University.

Dr. Cannon’s work bridges experimental and computational approaches, with significant contributions to metabolic pathway modeling, proteomics data analysis, and thermodynamic frameworks for biochemical reactions. His research includes simulating microbial metabolism, optimizing enzyme activities, and leveraging cloud computing for large-scale biological simulations. He has pioneered methods for integrating proteomics data with computational models and advancing algorithms for peptide identification in mass spectrometry.

His awards include multiple Outstanding Performance Awards from PNNL’s Computational and Information Sciences Directorate, NIH fellowships, and the Welch Foundation Graduate Award. Cannon’s interdisciplinary projects span systems biology, metabolic engineering, and computational infrastructure for biological research. He collaborates widely, contributing to initiatives like the Biological Modelling and Interface Exchange (BMX) framework and advancing novel approaches to chemical reaction network modeling.