ABOUT ME
Currently, I am an assistant professor in Department of Biostatistics, University of Florida and an affiliated member of the UF Artificial Intelligence Academic Initiative after my tenure as Postdoctoral associate at Duke University under Dr. David Dunson. My primary focus is on data science and in developing innovative statistical modeling frameworks and corresponding inference methodology motivated by complex applications with theoretical support. I received my PhD from NC State under the supervision of Dr. Subhashis Ghoshal and Dr. Ana-Maria Staicu in the department of statistics.
I have a Bachelor of Statistics (B.Stat. (Hons.)) and Masters of Statistics (M.Stat.) degrees from Indian Statistical Institute, India.
In my thesis, I worked on complex brain image data. In the publication section, the online versions of my works can be found. I can be reached by email at arkaprava.roy@ufl.edu
My Resume can be found here.
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. 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.
