Dan Peng

Dan Peng is a Student Advisor at MedPath and a graduate student in the Biomedical Data Science program at Stanford Medicine. He graduated with honors from the University of North Carolina at Chapel Hill, earning dual degrees in Computer Science and Statistics & Analytics. His current work focuses on medical artificial intelligence, multimodal machine learning, and the safety and reliability evaluation of large language models in clinical settings. With an interdisciplinary background spanning computer science, statistics, data science, and medicine, Dan brings a strong technical perspective to the development and responsible application of AI in healthcare.

At MedPath, Dan advises students interested in biomedical data science, medical AI, and interdisciplinary pathways connecting technology and healthcare. Drawing on his experience at Stanford Medicine, he also provides perspective for students interested in applying computational and quantitative approaches to biomedical research, clinical innovation, and the future of healthcare.