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.

2021/2022
Stats 3DS3
Stats 780

2020/2021
Stats 3DS3