Kun Huang

Kun Huang is a Professor at Indiana University, serving as Chair of the Department of Biostatistics & Health Data Science within the School of Public Health. He holds multiple affiliations including Precision Health Initiative Professor of Genomics Data Sciences, Professor of Medicine, and Adjunct Professor positions in Medical & Molecular Genetics, Pharmacology & Toxicology, and Computer Science. Additionally, he is the Associate Director for Data Science at the IU Simon Comprehensive Cancer Center and an Investigator at the Regenstrief Institute.

Dr. Huang specializes in Biostatistics, Genomics Data Sciences, and Precision Health, with a research focus on integrating multi-omics data and pathological images for cancer prognosis. His work in Machine Learning and Medical Imaging has led to innovative approaches in domain adaptation, batch correction, and multi-modal learning for biomedical applications.

Recent publications highlight his expertise in single-cell RNA sequencing, neuroscience, and cancer genomics, with a recurring emphasis on data integration, computational modeling, and epigenetic regulation. His methodology explores deep transfer learning, multi-task learning, and gene co-expression networks across diverse contexts including aging-related neurodegeneration, cancer diagnostics, and neural circuit formation.