Biography
Chenyu Li collaborates with Health Informatics faculty to design and implement advanced Natural Language Processing and Deep Learning models for clinical research infrastructures. With expertise in health care analytics and AI applications, Li leads technical aspects of system architecture and oversees AI model deployment for the Evolve to Next-Gen Accrual to Clinical Trials (ENACT) Network.
Education
- Doctor of Philosophy in Biomedical Informatics, University of Pittsburgh
- Master of Science in Health Sciences Informatics-Research, Johns Hopkins University
Research Interests
- Clinical Natural Language Processing/Large Language Models in Health care
- Real-world evidence generation
- Clinical decision support systems
Publications
- “Realizing the potential of social determinants data in EHR systems: A scoping review of approaches for screening, linkage, extraction, analysis, and interventions.” Journal of Clinical and Translational Science. 2024
- “Advancing social determinants of health research and practice: Data, tools, and implementation.” Journal of Clinical and Translational Science. 2025
- “Next Generation Biorepository Informatics: Supporting Genomics, Imaging, and Innovations in Spatial Biology.” In: Clinical Research Informatics. Health Informatics. Springer, 2023
Certificates
- Associate Certified Health Informatics Professional (ACHIP)
- Project Management Professional (PMP)
- Certified Information Systems Auditor (CISA)