Yue Shen

My research focuses on the theoretical and numerical aspects of graph modeling. I am now extending these mathematical frameworks to bioinformatics problems. Using single-cell spatial expression data, my aim is to build geometry-aware, interpretable models that provide principled comparisons across samples and generate insights into cancer progression. 

Previously, I developed theory and algorithms in manifold optimization as well as its applications, particularly in graph theory, including protein–protein interaction (PPI) networks, graph role extraction, (scaled) stochastic block models, and graph modularity-based analysis. This work produced methods that reveal communities, core–periphery structure, and functional roles in large networks.

• Yijun Sun, PhD

• PhD, Florida State University, Tallahassee, Fla., USA