Dr Shun-ichi Amari is a mathematical neuroscientist. He is a professor emeritus at the University of Tokyo and a honorary science advisor at RIKEN. He initiated information geometry, which has been widely applied in various fields such as statistics, signal processing, information theory, machine learning and more. He is also one of pioneers in developing mathematical theories of neural networks. He is currently working on integrated information theory and Wasserstein distance using information geometry.