Sounak Chakraborty, PhD
Dr. Sounak Chakraborty is a Statistical Consultant at XpetStat. His research interests are Bayesian machine learning, variable selection in high dimensional problems, data mining, non-linear models for complex data sets, statistical models for multi-platform data integrations, spatio-temporal models, and Markov chain Monte Carlo driven computational models. He has worked on wide ranging applications of statistical models and tools in areas as bioinformatics, medical science, sociology, ecology, business analytics, biomedical engineering, nanotechnology, and nanoscience. His multi-disciplinary collaborative work has been extensively funded by NSF, NIH, NASA, and USDA grants. Dr. Chakraborty is highly proficient in R, Matlab, SAS, C++, and Python, and has worked extensively in developing and implementing complex statistical models using R, Matlab, C++, and Python in various practical areas. Dr. Chakraborty is also an Associate Professor in the Department of Statistics, University of Missouri, Columbia, Missouri, USA.