Samiran Ghosh, Ph.D.

Assistant Professor of Mathematical Sciences

Samiran Ghosh received a Ph.D. from the University of Connecticut in 2006. His primary research is in the areas of Bayesian Nonfarametrics, bioinformatics, machine learning and bio-statistics. Ghosh’s research has three distinct directions: Non/Semifarametric model development for bioinformatics, development of model-based unsupervised learning methods for high dimensional data and data mining under spatio-temporal constraints.

Ghosh recently received a grant from the United States Geological Survey for “Bayesian Hierarchical Models for Estimating Trends in LTRMP Survey Data.”

Ghosh’s most recent publications include:
Ghosh, S., Hill, D.W., Nathan, M.P., Russel, B.M., Belinda, L., Debak, K., Dey, and David F. Grant. Statistical Approach to Metabonomic Analysis of Acute Trauma. Accepted for publication in Chemometrics.