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

2024/10: Awarded National Scholarship, Tsinghua University.

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, npj Precision Oncology, Cancer Medicine.