Zihang Wang

Zihang Wang

PhD Student in Biostatistics

Emory University

Research Interests

Neuroimaging Statistics
Causal Inference
Machine Learning
Statistical Genetics

About

I am a Ph.D. candidate in the Department of Biostatistics and Bioinformatics at Emory University, working with Prof. Benjamin B. Risk.

Prior to Emory, I received my BS degree in Statistics from Nankai University, and an MS degree from University of Wisconsin-Madison.

My research interests center around developing statistical methods and computational tools to analyze complex biomedical (neuroimaging/genetics) data.

News

2026-02

Our work on causal inference for preprocessed outcomes is now on arXiv: https://arxiv.org/abs/2602.02240.

2026-01

Poster presentation at 2026 Biostatistics, Epidemiology, and Research Design (BERD) Forum on Artificial Intelligence in Medical and Health Care Systems, Atlanta, GA

Selected Publications

View All →

Sparse independent component analysis with an application to cortical surface fMRI data in autism

Zihang Wang, Irina Gaynanova, Aleksandr Aravkin, Benjamin B Risk

Journal of the American Statistical Association

A novel Sparse ICA method that enables sparse estimation of independent source components by solving a non-smooth non-convex optimization problem via the relax-and-split framework.

GWAS on birth year infant mortality rates provides evidence of recent natural selection

Yuchang Wu, Shiro Furuya, Zihang Wang, Jenna E Nobles, Jason M Fletcher, Qiongshi Lu

Proceedings of the National Academy of Sciences

A genome-wide association study (GWAS) on infant mortality rate can identify recent selection signals, producing well-powered genome-wide maps for selection.