Currently, I am an assistant professor in the Department of Biostatistics, University of Florida after my time as a 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.
My Resume can be found here.
I am interested in developing 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.
Currently, I serve as an AE for Statistics in Medicine.