Team

His primary research fields are empirical finance and computer science. He has experience in analyzing various types of data, such as financial data, text data, high-frequency data, and network data. Prior to joining UTEcon, he was an economist at the Institute for Monetary and Economic Studies at the Bank of Japan and an assistant professor in the Faculty of Commerce, Waseda University. He received his Doctor of Engineering from Tokyo Institute of Technology.

He is the developer of CRAB, which is the crowd management system based on Economics. His research interest is not only the economic theory but also its beneficial implementation as a service or a product. He was the team leader of "CRAB: the crowd management system based on mechanism design and machine learning," that is an accepted program as MITOU Advanced 2019. Since 2020, he has belonged to the Ph.D. program in Economics at New York University.

His research has covered topics in accounting and corporate governance. He has conducted advisory work to predict accounting fraud. He graduated from Kobe University with a Ph.D. in Business Administration.

She specializes in rigorous economic analyses that apply the latest academic research to competition and other practical matters. Prior to joining UTEcon, she was an economist in the Mergers and Acquisition Division of the Japan Fair Trade Commission. She has been involved in high-profile cases relating to M&A, antitrust, and labor discrimination issues. She received her Ph.D. in Economics from the University of Washington.

He is an empirical microeconomist who works on labor, education, and urban issues. He has provided consulting service to the central and local governments and private firms on the assessment of the quality of statistics, assessment of urban development programs, and the assessment of products by using econometrics. He received his Ph.D. in Economics from Michigan State University in 2002.

His primary research fields are empirical industrial organization, quantitative marketing, and micro-econometrics. He combines economic models and data to make counterfactual predictions about competition policies and management and marketing strategies of firms. He got his Ph.D. in Economics from the London School of Economics.

His areas of expertise are big data analyses and business optimization projects based on economists' viewpoints. He is an experienced entrepreneur, and was previously a consultant at Boston Consulting Group (BCG), and a senior product manager at Amazon Japan.

His research field is financial accounting. His research interests include the economic consequences of 1) earnings quality and 2) the strategic disclosure of management earnings forecasts. He has worked as a technical advisor on a project to develop a model to detect accounting fraud. He received his Ph.D. in Business Administration from Kobe University.

His area of expertise is “matching theory” and its application to market design. He is best known for concrete proposals for improving the residency match and daycare seat allocation in Japan. Professor Kojima has published numerous peer-reviewed articles and received many academic prizes and honors. He is known as the most productive Japanese economist, as well as his collaboration with academic and non-academic researchers. He got his Ph.D. in Economics from Harvard University.

His primary research areas are industrial organization and competition policy. Before moving into academia, Kensuke worked at a US consulting firm, where he supported client firms in antitrust and other regulatory matters. Prior to that, he served as the head of the economic analysis team in the Mergers and Acquisitions Division of the Japan Fair Trade Commission. Kensuke received his Ph.D. in Agricultural and Resource Economics from UC Berkeley.

His area of expertise is implementation of the theories of market design and crowd management into a service or an application software. He was the lead engineer of "CRAB: the crowd management system based on mechanism design and machine learning," that is an accepted program as MITOU Advanced 2019. As of 2021, he is a Ph.D., student in Economics at University of Tokyo.

His primary research is on firm dynamics and financial institution. He has conducted a number of collaborative works with the private and public sectors for predicting firm dynamics (e.g., exits, growth, and fraud) as well as optimizing credit risk management. He holds multiple patents in those fields. He received his Ph.D. in Economics from UCLA.

His primary research area is incorporating insights of behavioral economics into industrial organization and contract theory. He has investigated various competition and consumer-protection policies in his academic articles, as well as served as a committee member for discussing amendments to the Consumer Contract Act. He received his Ph.D. in Economics from UC Berkeley.

His primary research areas are game theory, decision theory and behavioral economics. His recent research constructed theoretical frameworks to identify the preference of a boundedly rational consumer and applied it to contract theory and industrial organization. He received his Ph.D. in economics from Princeton University and was a faculty member at University of Michigan before joining OCU.

He conducts research in the area of macroeconomics and monetary policy. He was an economist at the Board of Governors of the Federal Reserve System from 2012 to 2020 where he conducted various model-based analyses for the Federal Open Market Committee. He received his B.A. and Ph.D. in Economics from the University of Chicago and New York University, respectively.

His research field is market design, matching theory, and auction theory. He has aimed for solving real-world problems and conducted research that carefully discusses implementation possibility. He is always searching for a new market to be analyzed, and in recent years, he has been focusing on the economics of cryptocurrencies and smart contracts. He received his Ph.D. in Economics from Stanford University. 

His areas of expertise are market design, auction theory, and platform analysis. As a research manager at VisasQ Inc., he contributed to the reform and expansion of matching platform business. Since 2020, he has been working at the University of Tokyo Market Design Center (UTMD), where he manages various projects. He holds a master's degree in economics from the University of Tokyo. He was a recipient of the Ouchi Hyoue Award (best graduation thesis in the Department of Economics, the University of Tokyo).

Sanshiro has extensive experience leading proposals on corporate database utilization for industries and financial institutions. Sanshiro acts as liaison between customers and subject matter experts, while providing academic insight for optimal solutions to problems.

He has worked as a consultant in helping clients analyze and utilize data in their operations. He has experience in measuring the effect of advertisement and demand forecasting on the restaurant, manufacturing, and service industries. He received his Master's Degree in Economics from the University of Tokyo.

His research field is applied microeconomics, especially health economics. These include analyses of how patients respond to the price of health care, how physicians react to the financial incentives, how the expansion of health insurance coverage affects utilization and supply of health care, how the repeal of federal prohibition affects infant mortality in the US, and how the introduction of face-mask mandates affect the case growth of COVID-19 in Canada. He applies state-of-art statistical techniques to many kinds of data including administrative data, survey data, and data from a laboratory experiment. He is also a Faculty Research Fellow at the National Bureau of Economic Research. He obtained Ph.D. in Economics from Columbia University in 2012.

His area of expertise is estimation of macroeconomic models using econometric methods and forecasting macroeconomic variables using methods of time series analysis and machine learning. He has been involved in a number of collaborative research projects at government research institutes. Before joining the Faculty of Economics in 2018, he worked at the Research Center for Advanced Science and Technology at the University of Tokyo. He received his Ph.D. in Economics from Yale University.

He has various consulting experiences based on empirical accounting research. He has conducted numerous collaborative works and studies with central government ministries, major audit firms, rating agencies, central banks, and asset management companies. He also has patents in the same field. He received his Ph.D. in Business Administration from Kobe University.

He specializes in development economics, empirical microeconomics, field experiments, and resource economics. He has done empirical and interdisciplinary research on a wide range of topics in many developing countries by conducting household and community surveys, field experiments, and spatial analyses. He has been an advisor to developmental institutions on program evaluation. He received his Ph.D. in Agricultural and Applied Economics from the University of Wisconsin- Madison.

She specializes in productivity research using highly granular data at the firm and individual levels. She also has experience from consulting at a large number of companies in the retail, wholesale, personal services, finance, and insurance industries. In addition, she is a member of committees of the central government on issues such as productivity, intangible assets, and economic statistics. She received her Ph.D. in Economics from Hitotsubashi University.

Kosuke Uetake’s research interests are quantitative marketing, industrial organization, and applied microeconomics. He has been collaborating with several companies both in Japan and the US to measure the effectiveness of various marketing policies such as advertising, CRM, and pricing. Also, he has experience with antitrust merger analyses in the high-tech industry. He received his Ph.D. in Economics from Northwestern University.

His primary research area is empirical industrial organization, and he has evaluated various policies, such as competition and healthcare, using a structural estimation approach. Prior to joining the University of Tokyo, he worked at the Bank of Canada, conducting some research projects on a cashless economy (consumer retail payment) and the hedge fund industry. He received his Ph.D. in Economics from the University of Pennsylvania.

His main research area is monetary policy and inflation dynamics. He is the author of many books and more than 60 academic journal articles on monetary policy, inflation dynamics, and international finance.He has developed the Nikkei-UTokyo Daily Price Index® with Kota Watanabe, and is principal founder of Nowcast Inc. Before joining The University of Tokyo in October 2011, he was a professor at Hitotsubashi University (1999–2011) and a senior economist at the Bank of Japan (1982–1999).

His areas of expertise are estimating demand, pricing, designing subscription and dynamic pricing, machine learning, and quantitative marketing. He also has expertise in the economic analysis of antitrust cases. He was head of economics at Amazon Japan before joining the University of Tokyo in 2019. He received his Ph.D. in Economics from the University of Pennsylvania.

His research area includes artificial intelligence, machine learning, and probabilistic reasoning. His areas of expertise are data-driven fault detection and diagnosis, learning dynamical systems, and simultaneous estimation of states and model parameters. He received his Ph.D. in Engineering from the University of Tokyo.

His areas of expertise are human resource management, labor market policies, and education and consulting experiences for both public and private sectors. Yamaguchi earned his Ph.D. from the University of Wisconsin-Madison and has held faculty positions at McMaster University and the University of Western Ontario in Canada before joining the University of Tokyo.

His research interests are deep learning, machine learning, pattern matching, and computer vision. In particular, he has been working on “attractiveness computing” that focuses on the prediction, reasoning, and even enhancement of the attractiveness of services. His work includes the impression analysis of oral presentations, advertisement and banner design support, and SNS promotion and marketing. In a collaboration project with KFC Japan, he has helped boost the number of likes on Instagram by a factor of seven. He has collaborated with more than 40 companies, worked as an AI consultant for more than 15 companies, and has more than 20 domestic and 10 international patents. He received a doctorate in engineering from the University of Tokyo.