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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.

Medical AIVision-language modelsRepresentation learningDomain generalization
Trinh holding her diploma on the steps at Korea University
Korea University · 2026

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

Conference papers

Preprints

2025
arXivPreprint

S-Chain: Structured Visual Chain-of-Thought For Medicine

Khai Le-Duc, Duy M. H. Nguyen, Phuong T. H. Trinh, Tien-Phat Nguyen, Nghiem T. Diep, An Ngo, Tung Vu, Trinh Vuong, Anh-Tien Nguyen, Mau Nguyen, Van Trung Hoang, Khai-Nguyen Nguyen, Hy Nguyen, Chris Ngo, Anji Liu, Nhat Ho, Anne-Christin Hauschild, Khanh Xuan Nguyen, Thanh Nguyen-Tang, Pengtao Xie, Daniel Sonntag, James Zou, Mathias Niepert, Anh Totti Nguyen

Background

2026 – present

Postdoctoral Research Fellow

Brigham and Women’s Hospital · Harvard Medical School

Department of Pathology, Mahmood Lab

2026

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.