Graduated from Information and Communication Engineering of the University of Tokyo and earned PhD in engineering in 2002.
Held research positions at National Institute of Advanced Industrial Science and Technology, and served as visiting researcher at Stanford University from August 2005. Since 2007, associate professor of Institute of Engineering Innovation, Center for Knowledge Structuring, and Department of Technology Management Strategy and since 2019, as professor at the University of Tokyo’s Graduate School of Engineering.

His research specialises in AI, deep learning and web mining. From Japanese Society for Artificial Intelligence, he received Best Paper Award in 2002, 20th Anniversary Project Award in 2006, Field Innovation Award in 2011, and Distinguished Service Award in 2013. He also served as editor-in-chief and board member since 2012, Ethics Committee chair since 2014, and board member also in Information Processing Society of Japan by 2022. He has been Japan Deep Learning Association Chair since 2017, outside director for SoftBank Group Corporation since 2019. Since 2021, expert member of Council for achieving new capitalism and since 2023, AI strategy conference chair.

To achieve Silicon Valley-like ecosystem, Matsuo Laboratory conducts research in AI at the University of Tokyo. Our goal is to create major breakthroughs in research field of AI especially on deep learning, and to have significant impacts on industries such as web/manufacturing. Students/staffs have been conducting research in AI (hypothetical reasoning and machine learning), natural language processing, social network analysis, social media, web mining, and business modeling. Currently, focusing on deep learning.