About Arkaprava Roy
I am an assistant professor in Department of Biostatistics, University of Florida and an affiliated member in the UF Artificial Intelligence Academic Initiative. Before that, I was an Postdoctoral associate at Duke University. My primary focus is on data science and in developing innovative statistical modeling frameworks and corresponding inference methodology motivated by complex applications with strong theoretical support. I received my PhD from NC State.
I am interested to develop cool statistical methods with substantial theoretical support in non-parametric/High dimensional modeling, Machine learning, manifold learning, graphical modeling, complex structure learning motivated by a variety of applications for example brain imaging, nutritional epidemiology, genomics, image precessing, time-series analysis etc, please feel free to contact me. Since most of my works are in Bayes paradigm, it is also often of great interest to develop flexible prior distributions to study complex spaces with theoretical support and develop computational algorithms that are scalable and highly efficient.