Lyle Muller's research spans neuroscience, computational modeling, and applied mathematics. His work centers on developing new approaches to large-scale recordings of neural population dynamics in cortex. After studying neuroscience at Brown University, Lyle completed a PhD in computational and theoretical neuroscience with Alain Destexhe (CNRS Gif-sur-Yvette). He then moved to San Diego for postdoctoral research with Terry Sejnowski in the Computational Neurobiology Laboratory (CNL) at the Salk Institute.
Maryam H. Mofrad is a postdoctoral scholar at Western's Brain and Mind Institute. Her research interests include mathematical modeling and optimization, sequential decision making, data analytics, and machine learning. She received her PhD in operations research from University of Pittsburgh with a focus on decision making under uncertainty and its application in medical decision making. Prior to joining computational neuroscience, she worked as a quantitative modeler and data scientist in the financial sector.
Mahmoud Sharkawi's research focus is to relate techniques in applied mathematics and probability theory to models in computational and theoretical neuroscience. Formerly a student of quantitative finance, he has completed a Master's degree in Financial Mathematics at McMaster University. Mahmoud's background spans differential equations, advanced probability theory, and stochastic processes.