Jianfeng Feng, Ph.D., is a professor of science and technology for brain-inspired intelligence/computer science at Fudan University. He is the chair professor of Shanghai National Centre for Mathematic Sciences, the dean of the Institute of Science and Technology for Brain-Inspired Intellignece, the dean of the School of Data Science in Fudan University, and a professor of computer acience at Warwick University, U.K . He has been developing new mathematical, statistical and computational theories and methods to meet the challenges raised in neuroscience and mental health research.
Recently, his research interests are mainly in big data analysis and mining for neuroscience and brain diseases. He was awarded the Royal Society Wolfson Research Merit Award in 2011, as a scientist “being of great achievements or potentials.” He has made considerable contributions on modeling single neurons and neuronal networks, machine learning, and causality analysis with publications in Nature-related journals, Science-related journals, JAMA Psychiatry, AJP, Biological Psychiatry, Molecular Psychiatry, Brain, PNAS, PRL, and top machine learning journal IEEE TPAMI. He has proposed and developed many AI algorithms and successfully applied them to search the roots in depression, schizophrenia, and autism; developed a functional entropy method and applied it to the study of aging, intelligence and creativity, etc.