Qianqian Song,

Dr. Qianqian Song is a tenure-track Assistant Professor in the Department of Health Outcomes & Biomedical Informatics at the University of Florida College of Medicine. She serves as Director of the Cancer Data Commons & Director of Translational Bioinformatics at the UF Health Cancer Center (UFHCC). Dr. Song also co-leads the UFHCC Cancer AI Working Group and the UFHCC Computational Biology Unit.

Dr. Qianqian Song specializes in artificial intelligence (AI)-driven biomedical research to advance precision medicine. Her work focuses on developing advanced computational and AI models to decipher disease mechanisms and identify novel therapeutic targets. With deep expertise in large-scale biomedical data, ranging from molecular-level genomics, transcriptomics, and proteomics, to single-cell and high-plex spatial imaging, and population-level electronic health records, Dr. Song has designed a suite of tailored deep learning, machine learning, and statistical tools for multi-modal data integration and interpretation. Her research has led to high-impact publications in Nature Communications, Advanced Science, Nucleic Acids Research, and the Journal of Clinical Oncology, highlighting the transformative power of AI in decoding complex diseases and accelerating therapeutic discovery.