Bio

I am a multidisciplinary researcher with expertise in sensor design, signal processing, and machine learning for healthcare applications. During my doctoral studies, I integrated machine learning into the field of medical imaging. As a research scientist at Tencent AI Lab, I developed AI tools for clinical pathology and gaming AI, exploring areas such as image/video coding and multimodal learning. I am now a postdoc at Stanford, where I concentrate on computational pathology for cancer diagnosis and personalized treatment to push the boundaries of AI healthcare.

Professional Education

  • Bachelor of Engineering, Wuhan University (2016)
  • Doctor of Philosophy, Tsinghua University (2021)
  • Visiting PhD, University of Edinburgh, UK, Medical Imaging (2020)

Stanford Advisors

Contact

  • Academic
    xiangjx@stanford.edu
    University - Scholar Department: Radiation Oncology Position: Postdoctoral Scholar

Additional Info

Current Research and Scholarly Interests

I develop machine leanring methods to autonomate the digital pathology.