My research interests lie in the development of AI-based models for computer-aided cancer early diagnosis using medical imaging data. Currently, my focus is on pancreatic cancer grading utilizing Ki67 stained pathology images and predicting cancer grade at the image level using frozen section images of pancreatic cancer. In future endeavors, I aim to address the challenge of reducing false positive rates in lung cancer diagnosis through the analysis of CT images. This trajectory reflects my commitment to leveraging cutting-edge technology to enhance cancer detection and improve patient outcomes.
Ph.D. - University of California, Irvine, CA 2011-2017
