Moumita Chakraborty is an assistant professor in Biostatistics at UTMB. Her academic background consists of statistical theory and methods with special emphasis on Bayesian statistics. Her current research interests include graphical methods for integrative analysis of high-dimensional omics data, variable selection and cluster analysis in spatial omics experiments, interplay of cardiovascular risk factors in relation to CVD-mortality, and longitudinal methods for modeling ageing related disabilities.
Education
PhD, Statistics, North Carolina State University, 2019
MS, Statistics, Indian Statistical Institute, 2014
BS, Statistics, Indian Statistical Institute, 2012
Research
Areas of Interest
Graphical methods for integrative analysis of high-dimensional omics data
Variable selection and cluster analysis in spatial omics experiments
Interplay of cardiovascular risk factors in relation to CVD-mortality
Longitudinal methods for modeling ageing-related disabilities
