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I have spent my career at the intersection of advanced AI research and real-world impact, guiding global R&D teams and shaping how enterprises harness AI at scale. My focus has been on building and scaling AI solutions — from machine learning and optimization to reinforcement learning and generative AI — that deliver measurable business transformation. With 250+ patents and publications, I’m recognized for bridging cutting-edge research with practical application, helping organizations evolve and capture new opportunities. And as a trusted C-level adviser and global speaker, I thrive on working with boards and leadership teams to translate complex technology into strategy, growth, and impact.

Shin-ichi O’uchi received Ph.D. degrees in information and communication engineering from the University of Tokyo in 2002. He was with Toshiba Corporation from 2002 to 2005. He joined National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan, in 2005. He is currently a laboratory team leader of AIST-UTokyo AI Chip Design Open Innovation Laboratory. He has worked on dedicated processor to quantum-computing simulation, CMOS-integrated DNA chips, FinFET technology and circuits, and AI accelerator.

Dr. O’uchi is a member of the IEEE Solid-State Circuits Society and Electron Device Society, the Institute of Electronics, Information and Communication Engineers (IEICE).

Daisuke Okanohara is the Chief Executive Officer of Preferred Networks (PFN) which he co-founded in March 2014 to advance AI toward practical use across various industries. Before being appointed CEO in November 2025, he led PFN’s research and business efforts for its core technologies, including generative AI, PLaMo™ large language model, and Matlantis™ universal atomistic simulator as the company’s Chief Technology Officer.

Okanohara also serves as the Chief Executive Officer of Matlantis Corporation, a PFN subsidiary that markets the Matlantis™ universal atomistic simulator for materials discovery.

Okanohara co-founded PFN’s predecessor Preferred Infrastructure with current PFN Chairman Toru Nishikawa and others when he was a graduate student in 2006. He received a Ph.D degree in Computer Science from the University of Tokyo in 2010. He has authored and co-authored several books in Japan on AI, deep learning, diffusion models and foundation models.