Meet Our New Faculty

October 3, 2017
Department of Statistics Logo

This autumn the department welcomes three new Assistant Professors: Jared Huling, Vishesh Karwa, and Subhadeep Paul. Read about their research interests below and see more on their faculty profile pages.

 

 

 

 

 

 

Jared HulingJared Huling

Assistant Professor of Statistics

Faculty Profile

My research interests focus on the development of precision medicine, causal inference, and statistical learning methodology for the analysis of complex observational studies. I am particularly interested in addressing various forms of population heterogeneity with the aim of improving patient and health outcomes. My work in this area has involved applications in hospital system risk modeling and in personalizing hospital intervention enrollment decisions. My research also includes methodological and computational developments with the aim of flexibly modeling highly complex and/or large-scale data.

 

Vishesh Karwa

Vishesh Karwa

Assistant Professor of Statistics

Faculty Profile

My research addresses the challenges in performing statistical inference using complex and/or massive data such as networks, high-dimensional contingency tables, and data that are missing or incomplete. My work is at the intersection of statistics, machine learning, and theoretical computer science and is motivated by many real-world problems with applications to social, political and behavioral sciences. Some of the problems that I currently work on include: (1) Statistical foundations of data privacy and confidentiality, (2) Causal inference under network interference, (3) Finite-sample inference for network models and high-dimensional contingency tables, and (4) Selective inference and adaptive data analyses. 


Subhadeep PaulSubhadeep Paul

Assistant Professor of Statistics

Faculty Profile

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.