William Cannon
Computational Mathematics,
Pacific Northwest National Laboratory;
Adjunct Professor, Department of Mathematics,
University of California, Riverside
https://www.pnnl.gov/science/staff/staff_info.asp?staff_num=7055
Dr. William Cannon from the Pacific Northwest National Laboratory (PNNL) was appointed Adjunct Professor in the Department of Mathematics, UC Riverside. Dr. Cannon's Research Interests include: Computational biophysics, biochemistry and proteomics; Modeling and simulation including deterministic and stochastic simulation of metabolism; simulations of state; microbial metabolism; statistics, statistical mechanics and statistical proteomics data analysis; Cloud computing and high performance.
Dr. Cannon is author of more than 50 technical publications in modeling and simulation, data analysis and proteomics. His graduate work was in statistical thermodynamics in the laboratory of J. Andrew McCammon studying molecular recognition proteins using molecular dynamics and Monte Carlo methods. His graduate work was in the laboratory of Steven J. Benkovic where he worked in both experimental and computational enzymology. Before joining PNNL, Dr. Cannon spent time at Monsanto working on high-throughput transcriptome data analysis and network inference. Since joining PNNL, Dr. Cannon has worked on statistical methods for integrating proteomics data with models, the use of supercomputers to maximize the identification of peptides and proteins from high throughput mass spectrometry assays, and the modeling and simulation of metabolic pathways.
Researchgate: www.researchgate.net/profile/William_Cannon2