Research Program and Theme
- Program: Cancer Technology and Data Science
- Theme: Computational Engineering and Data Science
Research Focus
Jun Song is interested in applying his training in mathematics and physics to biomedical research problems. He has been applying his computational skills to genomics and epigenomics for over a decade. Song’s research focuses on understanding the complex systems of stem cell differentiation and cancer progression. In particular, the Song lab studies how epigenetic and transcriptional changes are associated with cellular differentiation and cancer progression by reconstructing molecular interaction networks from state-of-the-art high-throughput genomic data, with the goal of identifying actionable targets for improving regenerative medicine and precision cancer therapy. Learn more about Jun Song’s lab.
Other Campus Affiliations
- Professor, Carl R. Woese Institute for Genomic Biology
- Founder Professor, Physics
- Professor, Statistics