Area of research
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Research interest
Bill Cannon is author of more than 60 technical publications in physics, statistical thermodynamics, modeling and simulation, and statistical analysis applied to biological processes. His graduate work in statistical mechanics was done in the laboratory of J. Andrew McCammon, where he studied molecular recognition proteins using molecular dynamics and Monte Carlo methods. His graduate work in experimental and computational enzymology was done in the laboratory of Steven J. Benkovic. Before joining Pacific Northwest National Laboratory (PNNL), Cannon spent time at Monsanto working on high-throughput transcriptome statistical analysis, machine learning, and network inference.
Probabilistic and maximum entropy modeling of chemical reaction systems: Characteristics and comparisons to mass action kinetic models.
Multiscale modeling meets machine learning: What can we learn?
A nitrogenase-like enzyme system catalyzes methionine, ethylene, and methane biogenesis.
Enzyme activities predicted by metabolite concentrations and solvent capacity in the cell
Integrating machine learning and multiscale modeling-perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences.
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