Jun Song

Jun Song is a Professor affiliated with multiple departments at the University of Illinois at Urbana-Champaign, including the Department of Statistics, Department of Physics, Carl R. Woese Institute for Genomic Biology, and holds the title of Founder Professor in Physics. His research focuses on computational biology, statistical genetics, and systems biology, with emphasis on understanding regulatory genomics and epigenetic mechanisms. Song leads a research group developing innovative tools for analyzing genomic data, such as CHANCE, NSeq, and ClusterEnG.

His work includes studies on chromatin structure, CRISPR prime editing efficiency, cancer-associated genetic variants, and the molecular basis of schwannoma development. He has contributed to high-impact journals in computational biology and genetics. Song’s lab actively investigates barriers to induced pluripotent stem cell (iPSC) generation through genome-wide screens and functional genomics approaches.

Key research themes involve integrating multi-omics data, modeling epigenetic evolution in cancer, and developing statistical methods for interpreting regulatory variation. His collaborative projects span epigenetics, cancer biology, and computational tool development for genomics research.