Kenji Yamanishi, a Leading Figure in Data Science, Appointed Principal Advisor to Trust Inc.
Trust Inc., a company promoting DX in the financial industry, has appointed Kenji Yamanishi, a leading expert in data science and a professor at the University of Tokyo, as its Principal Advisor, effective April 1, 2026. This appointment aims to further business growth and strengthen research and technology areas.
📋 Article Processing Timeline
- 📰 Published: May 13, 2026 at 19:00
- 🔍 Collected: May 13, 2026 at 10:31
- 🤖 AI Analyzed: May 14, 2026 at 06:11 (19h 39m after Collected)
Trust Inc. (Headquarters: Chuo-ku, Tokyo; hereinafter "Trust"), which promotes DX in the financial industry with the mission of "creating the future of finance with technology and community," announced that it has welcomed Kenji Yamanishi, a leading authority in data science, as its Principal Advisor, effective April 1, 2026, to further business growth and strengthen its research and technology domains.
Professor Yamanishi has been engaged in data science research as a professor at the Graduate School of Information Science and Technology, The University of Tokyo, since 2009. At Trust, he will work to strengthen research and technology areas based on his specialized knowledge in market prediction and pre-symptomatic detection.
■ Profile and Comment from Principal Advisor Kenji Yamanishi
【Profile】
Professor, Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo. From 1995, he engaged in data mining research at NEC Central Research Laboratories, serving as Principal Researcher and Center Director, among other positions. He has held his current position since 2009.
He is the founder of "Information Theoretic Learning," a machine learning theory based on information theory. He has numerous research achievements in the fields of anomaly detection and change detection (pre-symptomatic detection) in data science and established his unique theory of "Prognostic Informatics," which captures signs of data changes before problems become apparent. He has led practical applications in a wide range of business areas, including security, fraud detection, suspicious behavior detection, and fault detection in manufacturing, and also has a track record in pre-symptomatic detection in marketing and medical fields.
【Comment】
Anomaly detection and pre-symptomatic detection technologies are already indispensable in manufacturing and medical sites. In the financial sector, too, there is an expectation to grasp early signs of risk hidden in market movements and transaction data and link them to appropriate responses. Trust is a company dedicated to financial DX, and we will leverage the approaches cultivated through many years of research to improve the quality of actual services and decision-making. As Principal Advisor, I will contribute to the evolution of financial DX together with Trust.
【Company Overview】
Company Name: Trust Inc.
Representatives: Kyosuke Tomoda, Keita Yuyama (Co-CEOs)
Head Office Address: 1-8-1 FinGATE KAYABA, Nihonbashi Kayabacho, Chuo-ku, Tokyo 103-0025
Established: October 2023
URL: https://trust-partner.co.jp/
【Inquiries regarding this release】
Cross Trust Holdings Inc.
PR Department: Saito, Yamanaka
E-mail: contact@trust-partner.co.jp
Professor Yamanishi has been engaged in data science research as a professor at the Graduate School of Information Science and Technology, The University of Tokyo, since 2009. At Trust, he will work to strengthen research and technology areas based on his specialized knowledge in market prediction and pre-symptomatic detection.
■ Profile and Comment from Principal Advisor Kenji Yamanishi
【Profile】
Professor, Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo. From 1995, he engaged in data mining research at NEC Central Research Laboratories, serving as Principal Researcher and Center Director, among other positions. He has held his current position since 2009.
He is the founder of "Information Theoretic Learning," a machine learning theory based on information theory. He has numerous research achievements in the fields of anomaly detection and change detection (pre-symptomatic detection) in data science and established his unique theory of "Prognostic Informatics," which captures signs of data changes before problems become apparent. He has led practical applications in a wide range of business areas, including security, fraud detection, suspicious behavior detection, and fault detection in manufacturing, and also has a track record in pre-symptomatic detection in marketing and medical fields.
【Comment】
Anomaly detection and pre-symptomatic detection technologies are already indispensable in manufacturing and medical sites. In the financial sector, too, there is an expectation to grasp early signs of risk hidden in market movements and transaction data and link them to appropriate responses. Trust is a company dedicated to financial DX, and we will leverage the approaches cultivated through many years of research to improve the quality of actual services and decision-making. As Principal Advisor, I will contribute to the evolution of financial DX together with Trust.
【Company Overview】
Company Name: Trust Inc.
Representatives: Kyosuke Tomoda, Keita Yuyama (Co-CEOs)
Head Office Address: 1-8-1 FinGATE KAYABA, Nihonbashi Kayabacho, Chuo-ku, Tokyo 103-0025
Established: October 2023
URL: https://trust-partner.co.jp/
【Inquiries regarding this release】
Cross Trust Holdings Inc.
PR Department: Saito, Yamanaka
E-mail: contact@trust-partner.co.jp