Daniel A. Tranchina
Professor of Biology, Mathematics, and Neural Science
Warren Weaver Hall, Office 918
Ph.D., Neurobiology, Rockefeller University, USA, 1981.
B.A., Chemistry, SUNY Binghamton, USA, 1975.
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.)
C.K. Chen, M.L. Woodruff, F.S. Chen, Y. Chen, M.C. Cilluffo, D. Tranchina, and G.L. Fain,
"Modulation of mouse rod response decay by rhodopsin kinase and recoverin",
The Journal of Neuroscience
, PMC3501282 free full-text archive (2012)
A.R. Stinchcombe, C.S. Peskin, and D. Tranchina,
"Population density approach for discrete mRNA distributions in generalized switching models for stochastic gene expression",
Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, PMID: 23005139 (2012)
C. Ly, D. Tranchina,
"Spike train statistics and dynamics with synaptic input from any renewal process: a population density approach",
Neural Computation, PMID: 19431264 (2009)