Reza Ramezan, Ph.D.

I am a statistician in the Department of Statistics and Actuarial Science at the University of Waterloo. My current research interests are, predominantly, in statistical analysis of neuronal data, particularly in 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.