Thomas Li is an MD-PhD candidate and computational researcher blending computer science and medicine to improve diagnostic accuracy and access to care through translational data science. With 11 years of experience and a BS in Computer Science from Duke, he has advanced multimodal and longitudinal modeling for lung cancer—publishing MICCAI, Radiology AI, MIDL, and SPIE papers—and has improved state-of-the-art benchmarks by creatively applying CLIP and transformer architectures. At Vanderbilt he focuses on integrating imaging and EHR data, deploying browser-based edge inference, and translating models toward clinical use, and he has industry experience building foundation models for radiotherapy at Siemens Healthineers. Notably, his work includes large multi-cohort generalization studies and practical biomarker pipelines, reflecting a rare combination of rigorous evaluation and production-minded deployment.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Duke University
Contributions:1 PR, 25 pushes, 2 branches in 2 years 7 months
react
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