Jinxi Xiang (Derek) is a Postdoctoral Researcher at Stanford University School of Medicine, working with Prof. Ruijiang Li to pioneer AI-driven innovations for precision oncology. He earned his Ph.D. in Instrumentation Engineering from Tsinghua University in 2021. Prior to Stanford, Dr. Xiang spent two years as a Senior Researcher at Tencent AI Lab, leading projects in computational pathology, image/video compression, and generative video models for gaming applications.

With expertise bridging computer vision, medical image analysis, and AI, his interdisciplinary approach emphasizes translating technical advances into clinical practice, particularly through computational pathology and multimodal AI. Dr. Xiang’s current work focuses on developing scalable AI tools to optimize cancer diagnosis and treatment, fostering collaborations between engineers, clinicians, and industry partners.

News

• [2026-01] Our paper, AI-enabled virtual spatial proteomics from histopathology for interpretable biomarker discovery in lung cancer, has been published in Nature Medicine.
• [2025-08] Invited to serve as an Area Chair for ICLR 2026.
• [2025-02] Nature Cancer highlighted the development of foundation models such as MUSK, which marks substantial progress in the field of digital pathology.
• [2025-01] Our study, MUSK, was featured by many platforms such as Stanford Medicine, Stanford Report, Stanford HAI, NVIDIA News, Stanford Daily, BioArt(Chinese), AdvanceBC(Chinese), and more.
• [2025-01] Our paper, A Vision-Language Foundation Model for Precision Oncology, has been published in Nature.
• [2024-11] Our paper, A Vision-Language Foundation Model for Precision Oncology, has been accepted by Nature! This is my first project at Stanford.
• [2024-01] One paper accepted to ICLR 2024.
• [2023-07] One paper accepted to British Journal of Cancer.
• [2023-07] Two papers accepted to ACM Multimedia 2023 (one Oral).
• [2023-01] Two papers accepted to ICLR 2023 (one Spotlight).