Yifan Peng

Yifan Peng is an Associate Professor at Weill Cornell Medicine, with joint appointments in the Department of Population Health Sciences and the Department of Radiology. He directs the Peng Lab and VIVO research group, specializing in AI-driven healthcare solutions. His research integrates biomedical natural language processing, deep learning for medical imaging, and clinical AI validation.

Education:

• Ph.D. in Computer Science, University of Delaware (2016)
• M.S. in Computer Science, University of Delaware (2013)
• M.Eng. in Signal and Information Processing, Peking University (2010)
• B.S.E. in Computer Science, Beijing University of Technology (2007)

Research Focus: Dr. Peng's work spans generative AI in radiology, fairness in diagnostic algorithms, NLP for clinical evidence synthesis, and multimodal data fusion for predictive modeling. Recent projects explore LLMs for social determinants of health extraction and AI-assisted radiology report curation.

Publications: His recent articles (2023–2025) emphasize radiology AI, clinical NLP robustness, and ethical AI deployment. Trends include LLM validation in healthcare, bias mitigation in medical imaging, and scalable NLP for low-resource clinical contexts.

Awards:

• Fellow, American College of Medical Informatics (2024)
• AMIA New Investigator Award (2023)
• NIH Fellows Award for Research Excellence (2020)
• Multiple NIH Honor Awards (2018–2019)

Grants & Advising: He leads NIH R01 grants (e.g., 1R01LM014306, 1R01CA289249) and an NSF CAREER award (2145640). Mentees include 9+ PhD students focused on NLP, medical imaging, and AI fairness. Lab initiatives include the DermpathNet project and radiology report generation tools.