Short bio
AI researcher, professor, and entrepreneur connecting research questions with learning and real-world implementation.
Profile
Atsushi KoshioProfile
A researcher, educator, and entrepreneur turning the possibilities of AI into ideas that can be tested and implemented in the real world.
Researcher | Educator | Entrepreneur
Atsushi Koshio
BiographyBIOGRAPHY
Standard bio
Atsushi Koshio is a researcher, educator, and entrepreneur working across artificial intelligence, data science, human informatics, medical informatics, and EdTech. Moving between university research and business leadership, he develops AI into systems that serve people and society.
Detailed bio
Atsushi Koshio is a researcher, educator, and entrepreneur whose work spans artificial intelligence, data science, human informatics, medical informatics, and EdTech. He is a professor at Reitaku University, a project associate professor at the University of Tokyo, and a visiting professor at Kobe Institute of Computing. He also serves as CTO of HYPER CUBE Inc. and leads Four H Inc., while contributing to the management of several other companies as a director, adviser, and AI adviser. His current interests include AI agents, human-centered AI, informational health, invisible data, the evaluation of people and data overlooked by AI, and the use of AI for decision support in healthcare, education, and public systems. He connects field observations to research questions, data design, prototyping, evaluation, and implementation.
Current rolesCURRENT ROLES
Research & education
Business
Public service
Three perspectivesTHREE PERSPECTIVES
01
RESEARCHER
Researcher
I develop privacy-conscious AI systems and personal AI while raising questions about AI evaluation and its social impact. I turn less-visible challenges in healthcare, education, and public-sector settings into testable research questions.
02
ENTREPRENEUR
Entrepreneur
Taking research beyond publications into services and systems, I connect vision, requirements, prototypes, and evaluation to develop AI systems that genuinely help people.
03
EDUCATOR
Educator
Alongside the theory and practice of AI, I help people learn to frame questions, decide what to delegate, and evaluate outcomes—capabilities needed to thrive in the AI era. My teaching spans university and professional education.
Areas of expertiseEXPERTISE
- Artificial Intelligence & AI Agents
- Data Science & Synthetic Data
- Human Informatics & Informational Health
- Medical Informatics & Digital Health
- EdTech & Creativity Support
- Futures Studies & System Design
Selected experienceSELECTED EXPERIENCE
- Visiting Researcher, MIT Sloan School of Management
- Project Researcher, Policy Alternatives Research Institute, The University of Tokyo
- Assistant Professor, Department of Health Policy and Management, Nippon Medical School
- Professor and Dean, Graduate School of Project Design
- Affiliated Fellow in healthcare, National Institute of Science and Technology Policy, MEXT
- Project Associate Professor, Center for Spatial Information Science, The University of Tokyo
APPROACH
Moving back and forth between research and implementation.
Technology adoption is never the goal by itself. I begin with whose decisions and actions a system should support, then design for human approval, privacy, uncertainty, and evaluation, improving the system through evidence from practice.
Start a conversation about a talk, training, research, or development.
You do not need a finished brief. We can begin by clarifying the problem together.