Research Interests

Our research has been focused on big data, machine learning, artificial intelligence, and medical imaging for early cancer risk prediction, detection and prevention.

Current Projects

  • Tracking organ doses for patient safety in radiation therapy;
  • Machine learning with radiation oncology big data;
  • Natural language processing for data mining and clinical decision support;
  • Individualized cancer risk management;