معرفی
Subhadeep Paul is an Associate Professor of Statistics at The Ohio State University, within the Department of Statistics, College of Arts and Sciences. He joined the faculty in 2017 and is affiliated with the Translational Data Analytics Institute (TDAI). His research focuses on statistical inference in complex networks, neuroimaging data analysis, and high-dimensional data.
Education: PhD in Statistics from the University of Illinois, Urbana-Champaign (2017).
Research interests include network analysis, statistical learning, neuroimaging data analysis, and high-dimensional data analysis. He develops computationally feasible methods such as spectral clustering and matrix factorization for analyzing networks, with applications in neuroimaging and other complex systems. Recent work emphasizes community detection in multi-layer networks, Hawkes process models for temporal dynamics, and spatial transcriptomics analysis.
His publications explore topics like peer influence modeling in therapeutic networks, spatial autoregressive frameworks, and virocell metabolic reprogramming. No scientific awards explicitly mentioned.
Advising/Grants: No student advisees or grant information provided in the text. Affiliated with TDAI for interdisciplinary data science collaboration.
