Debanjan Datta is a Ph.D. student in the Department of Computer Science. He is advised by Naren Ramakrishnan.
Datta’s research area is data mining and machine learning. His areas of interest are algorithms on text and numerical data. His current focus is using machine learning on massive trade datasets to detect patterns of illegal trade.