Chiang-Ching Huang

Chiang-Ching Huang is a Professor in the Department of Biostatistics at the University of Wisconsin-Milwaukee, College of Public Health. With a PhD in Biostatistics from the University of Michigan and a Master of Science in Statistics from the University of Iowa, he specializes in genomic data analysis, biomarker discovery, and precision medicine applications in cancer and cardiovascular diseases.

• PhD, Biostatistics, University of Michigan, Ann Arbor
• MS, Statistics, University of Iowa, Iowa City
• BS, Applied Mathematics, National Chiao-Tung University, Hsinchu, Taiwan

His research focuses on integrating genomic-scale data with phenotypic information to predict disease susceptibility, treatment response, and survival outcomes in cancers like prostate cancer and paediatric brain tumors. He develops advanced analytical techniques for liquid biopsy applications, including cell-free DNA copy number variation analysis and digital PCR-based prognostic models.

Recent publications highlight his work on epigenetic modifications in circulating DNA, machine learning approaches to genome-phenome mapping, and multi-gene risk scores for metastatic castration-resistant prostate cancer. His team also explores inflammatory pathways in autoimmune diseases like juvenile dermatomyositis through RNA-Seq and miRNA profiling.