News

2026/04/09

Seven students participated in the GTIE SEP2025 UCSD training!

The Greater Tokyo Innovation Ecosystem (GTIE) is a platform for universities and research institutions in the Tokyo metropolitan area that aims to nurture entrepreneurial talent and develop university-launched startups that will change the world.

GTIE SEP2025, a program for students conducted by GTIE, held its first UCSD training program. Located in San Diego, California, UC San Diego is home to outstanding research in bioengineering and bioinformatics, and is a joint project of the Jacobs School of Engineering and the Rady Graduate School of Management. The training was conducted in cooperation with the Institute for the Global Entrepreneur (IGE), which specializes in fostering global technology leaders and bringing university research results to the marketplace.

The 30-hour lecture was conducted entirely in English, and the participating students worked on brushing up their own business ideas and business plans. In addition, lab tours were conducted to several UCSD facilities, including UCSD Health and the Center for Future Surgery (CFS), and the students also had the opportunity to interact with local students.

On the final day, the Pitch Award was presented to Sunao Sumi (2nd year master’s student, Graduate School of Engineering, The University of Tokyo), and Mana Mizobuchi (2nd year, Faculty of Science and Technology, Keio University) and Daiki Naito (1st year, Faculty of Engineering, Tokyo University of Agriculture and Technology) were selected as the students who made the most progress during the training.

Contents of the training (in part)

Session: SMART Objectives, Storytelling

Session: Market Sizing with AI Tools and Competition

Pitch Prep with Mentors

Lab Tour: Center for Future Surgery (CFS)

Lab Tour: Contextual Robotics Etc,.

GTIE SEP 2025 UCSD Training List of Participants

Name Name of University Department Academic Year Subject name
Sho Asano The University of Tokyo School of Medicine 5th year AI Medical Partner
Tomohito Okazaki The University of Tokyo School of Medicine 3 years Strategic GDMT Titration & Remote Monitoring AI for Heart Failure: From “Clinical Inertia” to an Active Recommender System
From “Clinical Inertia” to an Active Recommender System
Saori Shimada Graduate School of Medicine, The University of Tokyo Graduate School of Frontier Sciences, Department of Advanced Biosciences First-year master’s student Emotion-Sensing Wearable for Live Entertainment
Tadashi Sumi The University of Tokyo Graduate School of Engineering, Department of Electrical Engineering 2nd year MyEndoscope: A Portable AI-Driven Endoscopic Training & Skill-Assessment Platform
Hikaru Kiyoko Waseda University School of Creative Science and Engineering, Department of Management Systems Engineering 3rd year Living Lab Platform
Daiki Naito Tokyo University of Agriculture and Technology Faculty of Engineering, Department of Bioengineering 1st year Next-Gen STEAM Education Kit
-Biofuel & PET bottle Hybrid Rockets
Mana Mizobuchi Keio University Faculty of Science and Technology 2nd year MedOpt Scheduler: OR-Driven Optimization for Hospital Appointment & Diagnostic Workflow