Reza Ramezan, Ph.D.

I am a statistician and an Associate Professor, Teaching Stream (research active) in the Department of Statistics and Actuarial Science at the University of Waterloo. My current research interests are, predominantly, in the statistical analysis of neuronal data, particularly in the modelling of neural spike trains. Neural action potentials are often called spikes because they tend to be strongly localized in time. A sequence of such spikes from a single neuron is called a spike train. I am interested in multivariate analysis of such data, particularly, in developing computationally efficient probabilistic models within point process frameworks. I am also interested in applied statistical modelling in behavioural neuroscience. I am particularly interested in answering biological and neuroscientific questions using data science, statistics, and computational frameworks.