Kun Wang

Kun Wang

Assistant Professor, Comparative Biosciences

Areas of Research

AI, Data Mining, and Machine Learning, Imaging, Immunotherapy

Research Program and Theme

  • Program: Cancer Technology and Data Science
  • Theme: 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. 

Other Campus Affiliations

Assistant Professor, Bioengineering