معرفی
Tsung-Ting Kuo is an Associate Professor in Biomedical Informatics & Data Science and Surgery at Yale School of Medicine. His primary appointment is in Biomedical Informatics & Data Science with a secondary role in Surgery. He holds adjunct affiliations with the Computational Biology and Biomedical Informatics program and the Yale Combined Program in the Biological and Biomedical Sciences (BBS).
Education & Training
- PhD, National Taiwan University (2014), Institute of Networking and Multimedia
- Postdoctoral Scholar, University of California San Diego (2019)
Research Focus
Kuo's work centers on blockchain-based healthcare systems, distributed private modeling, and AI applications in biomedical data. He develops secure frameworks for cross-institutional data sharing, focusing on privacy preservation and robustness through decentralized technologies. Key areas include federated learning, clinical data interoperability, and genomic data security.
Publications & Trends
Recent work emphasizes privacy-preserving prediction models (e.g., C. difficile infection prediction) and blockchain solutions for consent management and research collaboration. His methods address challenges in equitable federated learning and model integrity across healthcare networks.
Awards & Recognition
- NIH R01 Grant for blockchain-based healthcare research
- 2020 Faculty of the Year (UCSD)
- UCSD Chancellor’s Outstanding Postdoctoral Scholar Award
Grants & Teams
Active NIH funding supports projects in secure federated learning and blockchain applications. Collaborates with clinical teams at Yale New Haven Hospital and multi-institutional networks in California. Leads the Yale Biomedical Informatics & Computing (YBIC) initiative.
Labs & Innovations
Develops tools like WebQuorumChain (collaborative healthcare modeling framework) and ModelChain (decentralized predictive modeling system). Involved in Yale’s efforts to integrate blockchain into clinical research workflows.
