Professor Qingfeng Liu conducts research in the fields of data science, econometrics, and machine learning (one of the fundamental technologies of artificial intelligence). He is currently a professor in the Faculty of Science and Engineering at Hosei University and also serves as a Research Affiliate at the New York University School of Global Public Health. He obtained his Ph.D. in Economics from Kyoto University in 2007 and later moved to the United States, where he worked as a postdoctoral researcher at Princeton University. He has also worked as a visiting professor or visiting scholar at institutions such as Kyoto University and Columbia University in the U.S. His research has been published in international journals such as the Journal of Business & Economic Statistics and Econometric Reviews, and he also serves as an editorial board member for international journals such as Economics and Open Economics. His awards include the Niigata University Economic Society Prize, the Outstanding Contribution Award at ACIEK (Winter)-IMIP 2024, and the Best Conference Award at IEOM 2024 Tokyo. In recent years, he has been integrating machine learning with econometrics, exploring a new privacy-preserving machine learning approach for economic analysis called Federated Machine Learning. His research has been supported by the Japan Society for the Promotion of Science (JSPS) and the Academic Research Grant from the National Banking Academic Research Promotion Foundation. Professor Liu aims to develop machine learning and econometric methods for solving economic problems and advancing industrial technologies. He leverages IoT, big data analytics, and fintech to contribute to the Fourth Industrial Revolution and Society 5.0.
Belief   Pursue with passion. Master with purpose.
Prophecy   Craftsmanship will revive Japan.   
Principle   Tranform opposition into fellowship.