Tian Kang is a Staff Machine Learning Scientist with a decade of experience building LLM- and NLP-driven systems for healthcare, currently leading R&D and technical direction for Clinical AI at Tempus. He combines a Columbia PhD in Biomedical Informatics with hands-on engineering to transform unstructured clinical notes and biomedical text into production-ready clinical decision support and precision medicine tools. Tian bridges research and deployment, guiding cross-functional teams to translate generative AI advances into scalable architectures, evaluation frameworks, and real-world impact. His background in immune repertoire analysis and genome assembly gives him uncommon depth in biomedical data processing beyond typical NLP expertise. Known for mentoring scientists and identifying high-impact opportunities, he focuses on clinically grounded system design that moves beyond isolated models to robust clinical intelligence platforms. Based in New York, his work centers on unlocking the value of unstructured medical data with LLMs and applied AI system design.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree, bioinformatics technology, Bachelor's degree, bioinformatics technology at Huazhong University of Science and Technology
Doctor of Philosophy (Ph.D.), Biomedical Informatics, Doctor of Philosophy (Ph.D.), Biomedical Informatics at Columbia University
Contributions:47 commits, 69 pushes, 1 branch in 1 year 11 months
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Tian Kang - Staff Machine Learning Scientist at Tempus AI