My research focuses on statistical inference in complex networks, including their multi-layer and dynamic variants. I aim to develop computationally feasible model based as well as spectral and matrix factorization based methods to analyze networks. I am also interested in the analysis of neuroimaging data obtained from both functional MRI and in-vivo Calcium imaging and much of my current research is motivated by such applications.

Subhadeep Paul joined the statistics faculty in 2017. He is affiliated with the Translational Data Analytics Institute (TDAI) at Ohio State.