Daniel A. Tranchina
My main areas of research are computation neuroscience, mathematical biology, and statistics analysis of genome-scale data. Much of this research is united by the theme of stochastic processes. Examples include reproducibility of the single-photon response of retinal rods, population density methods for electrical signaling in large-scale neural networks, stochastic gene expression, and inferences of differential gene expression based on statistical analysis of high throughput sequencing data.
(More details are on my Biology we page.)