(known as “UTEC”), and Managing Director of Japan Venture Capital Association (JVCA).
Since the inception of The University of Tokyo Edge Capital Co. Ltd. (previously known as UTEC) in April 2004, he has raised and managed four funds totaling over JPY 54 billion (Approx. USD 500 million), built the team, and guided investments, value-up and exits of UTEC portfolio companies. 12 of UTEC portfolio companies were acquired and 13 went public.
These UTEC funds are established on the premise of the Japanese law called "The Limited Partnership Act for Investment" that he authored to enact in 1998 at the then Ministry of International Trade and Industry (MITI, now known as METI: the Ministry of Economy, Trade and Industry) and became the foundation for Japanese venture capital funds thereafter.
Tommy was selected to speak on panels in Davos, Switzerland for Japan's Prime Minister Office in February 2018, and in Geneva, Switzerland for United Nations UNCTAD World Investment Forum in October, 2018.
Since 2016, he has also researched on data science to analyze success factors for scientific startups at the University of Tokyo’s School of Engineering.
Tommy graduated from the University of Tokyo’s Faculty of Law in 1996, earned his MBA at Stanford University in 2003, and received his Ph.D. in data science from the University of Tokyo’s School of Engineering in 2020.
-"The Limited Partnership Act for Venture Capital Investment" (enacted in 1998) and its related accounting/tax rules as well as VC fund performance measurement reports (at MITI)
-"The Small Business Innovation Research (SBIR) Program" (enacted in 1999, as part of "Industrial Revival Act", at MITI)
-"Copyright Management Business Act" (enacted in 2001, at Cultural Agency)
-Intellectual property-related articles of "Trust Business Law" (enacted in 2003, at Financial Services Agency)
He left the government to initiate The University of Tokyo Edge Capital in 2004.
●Goji, Tomotaka, et al. “Researchers’“Startup Readiness” in the Biopharmaceutical Domain Assessed Using Logistic Regression for Features of Their Papers, Patents, Institutes, and Nations.” 2019 Portland International Conference on Management of Engineering and Technology (PICMET). IEEE, 2019.