William Marshall

William Marshall is a Professor in the Department of Mathematics and Statistics at Brock University. His academic focus combines computational statistics with neuroscience applications, particularly in causal network analysis, functional connectivity measures, and linear mixed-effect models for neuroscience data. He holds a BSc from Brock University, an MMath, and a PhD from the University of Waterloo.

Education:

• BSc (Brock University)
• MMath (University of Waterloo)
• PhD (University of Waterloo)

Research interests include causal networks (e.g., integrated information in Bayesian systems), neuroimaging data analysis (fMRI, EEG), and statistical methodologies for repeated-measures experiments. His work bridges theoretical frameworks with empirical neuroscientific investigations.

Publications highlight contributions to sleep neurobiology, computational tools for causal analysis (e.g., PyPhi), and synaptic plasticity studies. Recent work explores sleep deprivation effects on synapse density and myelin structure in mice.

No scientific awards are explicitly mentioned in the provided text. Teaching responsibilities include courses like Mathematical Statistical Inference (MATH5P85) and Computational Statistics (MATH5P87).

His research extends to collaborations with neuroscientists and interdisciplinary teams, though specific lab affiliations are not detailed here.