ABOUT
Hi, I’m Trinh.
I develop machine learning methods for computational pathology, with a focus on learning useful representations from medical images and connecting visual evidence with diagnostic reasoning.
I am a Postdoctoral Research Fellow in the Mahmood Lab at Brigham and Women’s Hospital, Harvard Medical School. I received my Ph.D. in Computer Engineering from Korea University in 2026, under the supervision of Professor Jin Tae Kwak. During my Ph.D., I also worked closely with Professor Nasir Rajpoot at the University of Warwick.
My research spans multimodal learning, self-supervised learning, and domain generalization, with applications in cancer grading and mitotic figure analysis.

A little moment
from Seoul.
Celebrating the end of my Ph.D.
and the start of a new chapter.
Recent news
- MiTHras accepted to IEEE Journal of Biomedical and Health Informatics. The preprint is now available. Read the paper
- Joined the Mahmood Lab as a Postdoctoral Research Fellow at Brigham and Women’s Hospital, Harvard Medical School. Mahmood Lab
- Completed my Ph.D. in Computer Engineering at Korea University.
Publications
Journal articles, conference papers, and preprints. Google Scholar ↗
Journal papers
Joint categorical and ordinal learning for cancer grading in pathology images
Conference papers
QuIIL at T3 Challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View
Quintet margin loss for an improved knowledge distillation in histopathology image analysis
IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification
Preprints
Background
Postdoctoral Research Fellow
Brigham and Women’s Hospital · Harvard Medical School
Department of Pathology, Mahmood Lab
Ph.D. in Computer Engineering
Korea University, Seoul, South Korea
Get in touch
Interested in collaborating or chatting about computational pathology and medical AI? I’d love to hear from you.