I worked as a postdoctoral fellow from 2018 to 2022 in the University of Michigan, Department of Statistics and Department of Biostatistics. My research concerns statistical learning problems motivated from real applications. My contributions have been to develop statistical methods with theoretical guarantees. Algorithmic development and the analyses of statistical consistency are essential components of my work. I have worked on Network Data Analysis and signal processing, and my recent focus is on Hypergraph data and Electronic Health Record (EHR) data.

My applied research concerns a variety of topics in healthcare, involving statistical predictive modeling, data harmonization, quality of care and health policy.