معرفی
Yuan Zhang is an Associate Professor of Statistics at The Ohio State University, affiliated with the Department of Statistics and Translational Data Analytics (TDA) initiative. He holds a BSc in Statistics from the University of Science and Technology of China (2011) and a PhD in Statistics from the University of Michigan (2016). His research focuses on statistical network analysis, nonparametric inference, U-statistics, and conformal prediction. He advises several PhD students, including Meijia Shao (recipient of the 2023–2024 Whitney Research Award), Torey Hilbert, Kiljae Lee, Fangyi Wang, and Qian Zhou.
Key research contributions include advancements in network-based statistical methods, robust distribution-free testing, and conformal prediction frameworks. His work bridges theoretical statistics with practical applications in neuroscience, genomics, and high-dimensional data analysis. Notable publications include work on U-statistic reduction (Journal of the American Statistical Association, 2025), stable conformal prediction (ICLR 2025), and neuroimaging connectivity analysis (Biometrics, 2025).
Zhang collaborates extensively with researchers in biostatistics and computational science, contributing to projects in voxel-wise genome-wide association studies and brain connectivity analysis. His research is supported by affiliations with TDA and interdisciplinary collaborations at Ohio State.
