Dr. Jun Deng is a Professor and Director of Physics Research at the Department of Therapeutic Radiology of Yale Medical School, an ABR board certified medical physicist at Yale-New Haven Hospital, and the Principal Investigator of the Yale Smart Medicine Lab (YSML). Dr. Deng obtained his PhD from University of Virginia in 1998 and finished his postdoctoral fellowship at Stanford University in 2001. Currently with funding from NIBIB, NSF, NCI, DOE and YCC, Dr. Deng’s research has been focused on artificial intelligence, machine learning, big data, and medical imaging for early cancer detection, real-time clinical decision support, digital twins of cancer patients, as well as AI-empowered mobile health and smart medicine. Dr. Deng has been serving on the Editorial Board of numerous peer-reviewed journals, on the study sections of NIH, NSF, DOD, ACS, RSNA and ASTRO since 2005, and as scientific reviewer for various science foundations and institutions since 2015. Dr. Deng is an elected fellow of Institute of Physics, AAPM, and ASTRO.
What do you do with data science?
My research at Yale is primarily on two domains: artificial intelligence for precision medicine, and artificial intelligence for precision radiotherapy. With funding from NIBIB, NSF, NCI, DOE, YCC and Amazon, some active projects carried out at Yale Smart Medicine Lab include (1) multiscale digital twin modeling of cancer patients; (2) early cancer detection via statistical modeling of personal health data; (3) artificial intelligence for clinical decision support; (4) a generalizable data framework toward precision radiotherapy; and (5) AI-empowered mobile health and smart medicine.
In the future, I’d like to work with FDS members and community members on campus and contribute my expertise in AI and healthcare to build a national hub at Yale that facilitates and catalyzes research, teaching, and innovation in data science.