Debdeep Pati

Research interests include: Machine learning and high dimensional applications, Bayes theory and methods in high dimensions, Approximate Bayesian methods, high dimensional network analysis, Bayesian graphical models, efficient Bayesian computation, electronic health record data, hierarchical modeling of complex shapes, point pattern data modeling, real-time tracking algorithms, and fair algorithms.