Zixuan Cang

Zixuan Cang is an Assistant Professor in the Department of Mathematics at North Carolina State University. His research focuses on Mathematical and Computational Biology, Topological and Geometric Data Analysis, and their applications to biological systems. He explores optimal transport, data-driven modeling, and biomolecular data analysis to address challenges in computational biology.

Key research groups include the Mathematical Biology Research Group and the Numerical Analysis and Scientific Computing Research Group. He actively seeks motivated graduate students and postdoctoral researchers, offering a postdoc position immediately available. His work bridges theoretical mathematics with practical biological problems, leveraging advanced computational methods to analyze complex biological data.

Research trends in his articles emphasize topological data analysis, optimal transport applications, and single-cell transcriptomics. These studies address topics like cardiac myocyte differentiation, cell communication networks, and protein-ligand interactions. He develops innovative tools like AVIDA and Scan-IT for data integration and spatial transcriptomics analysis.

Current opportunities include collaborations on spatiotemporal modeling of developmental processes and computational methods for biomedical data. His lab’s work is interdisciplinary, combining mathematical rigor with cutting-edge biological datasets.