معرفی
Jun Deng is a Professor at Yale University School of Medicine, holding primary appointments in the Department of Therapeutic Radiology and secondary appointments in Biomedical Informatics & Data Science. As Director of Physics Research in Therapeutic Radiology, he specializes in artificial intelligence, machine learning, and medical imaging for precision medicine. His research focuses on early cancer detection, digital twins for healthcare, and AI-driven clinical decision support.
Dr. Deng earned his PhD from the University of Virginia and completed postdoctoral training at Stanford University. He is an elected Fellow of the Institute of Physics (IOP), American Association of Physicists in Medicine (AAPM), and American Society for Radiation Oncology (ASTRO). His honors include selection as a Key Thought Leader for the NCI Cancer AI Accelerator Program and mentorship roles in NIH's AIM-AHEAD initiatives.
His research portfolio spans over 130 peer-reviewed publications, emphasizing AI applications in radiation oncology, big data analytics, and digital health. Key projects include predictive modeling for cancer survivorship, liver cancer risk quantification, and development of digital twin frameworks for personalized treatment. Dr. Deng actively collaborates with institutions like the Yale Cancer Center and leads the Smart Medicine Lab, advancing AI-driven healthcare solutions.
Dr. Deng serves on editorial boards for multiple journals and peer review panels for NIH, NSF, and international foundations. His lab's work has been funded by agencies including NIBIB, NSF, NCI, and DOE, supporting projects in medical imaging, radiation therapy optimization, and AI ethics in healthcare.
