Ruijiang Li

Associate Professor

Stanford University

United States

Research Interests

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About

Dr. Ruijiang Li is an Assistant Professor at Stanford University in the United States. His research focuses on the application of artificial intelligence in clinical oncology, particularly in predicting treatment responses and evaluating tumor immune microenvironments. Recent publications highlight advancements in radiological tumor classification and the development of deep learning models for improving survival predictions in gastric cancer.

Recent Grants

Grant: Open

Computational imaging approaches to personalized gastric cancer treatment

Open Date: 2023-03-01

Close Date: 2028-02-29

Grant: Open

Precision imaging for risk stratification and personalized therapy of oropharyngeal cancer

Open Date: 2022-07-05

Close Date: 2027-03-31

Grant: Close

Imaging and circulating DNA markers to assess early response and predict treatment failure patterns in lung cancer

Open Date: 2019-02-01

Close Date: 2024-01-31

Grant: Close

Multiregional imaging phenotypes and molecular correlates of aggressive versus indolent breast cancer

Open Date: 2018-02-01

Close Date: 2023-01-31

Grant: Close

MRI-Based Radiation Therapy Treatment Planning

Open Date: 2016-02-01

Close Date: 2021-09-30

Positions (1)

Ruijiang Li

University Name

Stanford University

Postdoctoral Researchers in AI for Precision Medicine, Spatial Omics, and Biomedical AI at Stanford University

Stanford University is hiring postdoctoral researchers for work at the intersection of AI for precision medicine , multimodal spatial omics , biology world models , biomedical AI agents , and AI virtual cells . The lab is looking for researchers who want to turn large-scale biological data into models that can support real clinical decisions. This opportunity is especially relevant for candidates with backgrounds in machine learning , computational biology , or closely related areas. This is a postdoc opening, not a scholarship. The post does not mention a deadline, stipend, or funding package, but it clearly invites applications by email. How to apply: send your CV and a brief research statement to Ruijiang Li, Ph.D., c/o Andrew M. Heider (Li Lab Research Coordinator) at [email protected] . Research themes: spatial omics, biomedical AI, computational biology, precision medicine, and model-driven clinical decision support.