Ryota Kanai, Ph.D.
Chief Executive Officer
Founder & CEO of Araya, Inc. After graduating from the Faculty of Science at Kyoto University in 2000, he received his PhD (Cum Laude) in 2005 from Utrecht University in the Netherlands, where he studied visual information processing in the human brain. After working as a researcher at California Institute of Technology in the U.S. and University College London in the U.K., and as a JST PRESTO researcher and Associate Professor of Cognitive Neuroscience at the University of Sussex in the U.K., he founded Araya, Inc. and worked full time there since 2015.
Shuntaro Sasai, Ph.D.
Fellow
After graduating from the College of Arts and Sciences at the University of Tokyo in 2008, he received his Ph.D. in the Graduate School of Education at the University of Tokyo in 2013. Since 2013, he is a member of the Center for Sleep and Consciousness at the University of Wisconsin at Madison. His research interests are in understanding the brain-consciousness relationship and developing brain-machine interface techniques enabling cross-brain communications. Currently, he focuses on modeling the brain’s wiring architectures supporting conscious experience and cognitive functions.
Kan Akutsu
Kan Akutsu
Manager
Akutsu Kan is a Manager at Araya. He received his Master’s Degree in Information Science and Technology at the University of Tokyo in 2012. After that, he worked in mobile game planning and development at DeNA Co., Ltd. and lead HR and product planning and development at ZEALS Co., Ltd.. He joined Araya in June 2023. He is currently working on designing and building a platform for BMI development.
Shun-ichi Amari, Ph.D.
Research Advisor
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.