Xia Li
Xia Li 李夏

Associate Professor, Ph.D. Supervisor

About Me

I am a tenure-track Associate Professor and Ph.D. supervisor at the School of Biomedical Engineering, Shanghai Jiao Tong University, where I lead the MedAPT group: Medical AI for Precision Therapy.

My research lies at the intersection of machine learning, computer vision, medical imaging, and radiation oncology. I am particularly interested in developing advanced imaging algorithms for image-guided precision radiotherapy, with a focus on proton therapy. Our group works on accelerating and improving core medical imaging methods, including image reconstruction, synthesis, registration, segmentation, uncertainty estimation, and dose-related modeling, with the goal of making precision cancer treatment faster, more accurate, and more accessible.

Before joining Shanghai Jiao Tong University, I received my Ph.D. in Computer Science from ETH Zurich and continued as a postdoctoral researcher at the Institute for Biomedical Engineering, ETH Zurich. I received my M.Sc. from Peking University. I have served as an Area Chair for ICML and NeurIPS, and my work has been recognized by the ICCR 2024 Rising Star Award, Stanford’s World’s Top 2% Scientists list, and awards in the COCO Challenge.

Interests
  • Machine Leanring
  • Medical Image Analysis
  • Proton Therapy
Education
  • Ph.D. in Computer Science

    ETH Zurich

  • M.Sc. in Computer Science

    Peking University

Research
Research overview
My research drives the vision of MedAPT (Medical AI for Precision Therapy), positioning artificial intelligence as the catalyst for next-generation cancer care. I focus on bridging the gap between data-driven generative models and physical laws to solve complex medical inverse problems. My ultimate goal of my research is to reducing the cost of precision therapy (especially proton therapy) from the algorithm perspective, and make it affordable by average people.
Recent News
Recent Publications
Honors
  • 2025 World's Top 2% Scientists by Stanford
  • 2024 Rising Star Award by ICCR
  • 2020 Excellent Graduate of PKU (Top 5%)
  • 2019 National Scholarship in PKU (Top 3%)
  • 2019 Innovative Award by COCO Challenge
  • 2019 Best Project in Google ML Winter Camp
  • 2018 Runner-Up Award by COCO Challenge
  • 2016 Merit Student of Beijing Municipal