Xiuquan Wang

Associate Professor of Mathematics / Chair, Tougaloo College

The Wang Research Group is an interdisciplinary research group in the Department of Mathematics and Computer Science at Tougaloo College. We develop artificial intelligence, mathematical, and computational approaches to understand complex biological and biomedical systems.

Our research integrates machine learning, mathematical modeling, network science, and bioinformatics to investigate cellular dynamics, disease mechanisms, and high-dimensional biological data. Current research areas include single-cell transcriptomics, RNA velocity, large-scale biological networks, long-read sequencing, and biomedical artificial intelligence.

Computational approaches for understanding complex biological systems through artificial intelligence, network science, and mathematical data analysis.

Our Research

Our research is organized around three interconnected areas:

Computational Biology & Single-Cell Genomics
We develop computational approaches to investigate cellular dynamics and state transitions using single-cell transcriptomics, RNA velocity, long-read sequencing, and isoform-level analysis.

Biomedical Artificial Intelligence
We develop machine learning and deep learning approaches for biomedical data analysis, including EEG-based neurological disease classification and multimodal learning for mental health applications.

Mathematical Data Science & Network Science
We use mathematical modeling, graph algorithms, and topology-aware methods to study large-scale biological networks and complex high-dimensional data.

Our group is committed to interdisciplinary research and undergraduate research training. Students work on real-world computational problems and gain experience in programming, data analysis, scientific communication, conference presentations, and research publication.