Associate professor, Departments of Mathematics and Anesthesiology
My research in mathematical and computational neuroscience focuses on constructing and analyzing biophysical models of neurons and neuronal networks in order to quantitatively probe experimental hypotheses and provide experimentally-testable predictions. In my collaborative projects, my goal is to provide continuous reciprocal interactions between modeling and experimental results that will allow for maximum impact of mathematical modeling in advancing scientific understanding.
Current research projects address:
MATH 568: Computational and Mathematical Neuroscience course
In the field of neuroscience, the brain is investigated at many different levels, from the activity of single neurons, to computations in small local networks, to the dynamics of large neuronal populations. This course introduces students to modeling and quantitative techniques used to investigate, analyze and understand the brain at these different levels.