Research Program and Theme
Cancer Technology and Data Science | Computational Engineering and Data Science
Research Focus
Kun’s research focuses on developing computational methodologies, as well as AI and machine learning models, to advance translational cancer research and precision immuno-oncology by analyzing omics, imaging and clinical trial data.
Education
- Ph.D., Computational Biology, University of Maryland, 2018
Campus Affiliations
- Assistant Professor, Comparative Biosciences
- Assistant Professor, Bioengineering