Reserach Area: Statistics and data mining
Research Profile: Statistics and data mining
Dr. Jeganathan’s research focuses on developing statistical and computational methods to analyze multi-domain data, especially addressing statistical challenges in microbiome multi-omic and spatial multi-omic data analysis. Current research includes multi-table integration, preprocessing and transformation of high-throughput sequencing data, visualization, hierarchical modeling, Bayesian statistics, statistical inference, block bootstrap method, data mining, and approximation theory in statistics.
Multi-view learning, Computational statistics, Generative models, Approximation theory, Spatial statistics.