I am a 5th year Ph.D. Candidate at Tsinghua University and a visiting researcher at KatherLab.

My research mainly focuses on computational pathology, especially using deep learning methods to find new cancer biomarkers, acquire low-dimensional knowledge from high-dimensional pathological images, and develop clinically useful framework for cancer diagnosis and prognosis.

I also study computational optics and develop histopathological optical imaging systems, which combine medical prior information and special optical methods to achieve clinically usable intraoperative rapid diagnosis and prognosis.

E-mail：liangjh20[at]mails.tsinghua.edu.cn

2024/04: Honored to win the best poster award at the ‘Advancing Health with AI’ Nature Conference held in Wenzhou.

2024/03: Our work on wide-field mesoscopy (RA-WiFi) was published in Nature Photonics.

2023/04: PathFinder was Highlighted in Nature Reviews Bioengineering.

2023/04: Our work on discovering new pathological markers through human-AI collaboration (PathFinder) was published in Nature Machine Intelligence.

Assisted in reviewing manuscripts in Nature Machine Intelligence, Nature Cell Biology, Nature Communications, BMJ Digital Health, Journal of Hepatology, npj Precision Oncology, Cancer Medicine.