Chris H.Q. Ding

Chris Ding is a Professor in the Department of Computer Science and Engineering at the University of Texas at Arlington, with a PhD from Columbia University. His research bridges Machine Learning, Data Mining, and Bioinformatics.

• Affiliations: University of Texas at Arlington; Lawrence Berkeley National Laboratory (staff computer scientist).
• Research Focus: Clustering algorithms (K-means, spectral clustering), matrix/tensor decompositions (NMF, Tucker), and bioinformatics applications (protein structure prediction, gene expression analysis).
• Professional Engagement: Organized KDD and ICDM workshops; served on NSF, DOE, and international grant review panels.
• Key Contributions: Established theoretical links between PCA/NMF and K-means; pioneered SVM use for protein 3D structure prediction.

His work emphasizes practical applications in biological networks, dimensionality reduction, and optimization-based machine learning frameworks.