معرفی
Kun-Hsing Yu is an Associate Professor of Biomedical Informatics at Harvard Medical School, with affiliations at Brigham and Women's Hospital (Assistant Professor of Pathology) and Harvard T.H. Chan School of Public Health (Instructor in Epidemiology). His research integrates quantitative histopathology, multi-omics data, and machine learning to advance cancer diagnostics and treatment. Key interests include automated pathology image analysis, molecular mechanisms of tumor morphology, and AI-driven clinical decision-making.
Education:
- PhD in Biomedical Informatics (Stanford University, 2016)
- PhD Minor in Computer Science (Stanford University, 2016)
- MD from National Taiwan University (2011)
Research Interests: Focuses on developing AI tools for histopathology analysis, multi-omics integration, and translational bioinformatics. Recent work addresses AI bias in diagnostics, immune-related adverse events in cancer therapy, and molecular mechanisms of tumor progression.
Awards:
- 2024 Dean’s Innovation Award
- 2023 Career Development Award
- 2021 NIH Maximizing Investigators' Research Award
- 2015 Howard Hughes Medical Institute Fellowship
Grants & Advising:
- Principal Investigator for NIH grants R01HL174679 (2024–2027) and R35GM142879 (2021–2026)
- Advises on machine learning, pathology AI, and translational informatics
Labs & Teams: Leads the Yu Lab, which develops algorithms for large-scale histopathology analysis and integrates multi-omics data to improve cancer patient outcomes.
