Professor Qingfeng Liu conducts research in data science, econometrics, and machine learning (a foundational technology of artificial intelligence). He is currently a professor at the Faculty of Science and Engineering, Hosei University, and an affiliated researcher at the School of Global Public Health, New York University. He received his Ph.D. in Economics from Kyoto University in 2007 and subsequently worked as a postdoctoral researcher at Princeton University. He has served as a visiting professor/scholar at Kyoto University and Columbia University. His research has appeared in international journals such as the Journal of Business & Economic Statistics and Econometric Reviews, and he serves on the editorial boards of journals including Economics and Open Economics. His awards include the Niigata University Economics Society Award, the Outstanding Contribution Award at ACIEK (Winter) – IMIP 2024, and the Best Conference Award at IEOM 2024 Tokyo. In recent years, he has advanced the integration of machine learning and econometrics, with support from JSPS KAKENHI and the Japan Society for the Promotion of Banking Academic Research, exploring federated machine learning methods for privacy-preserving economic analysis. He aims to develop methods that solve economic problems and advance industrial technology in data science, leveraging IoT, big data analytics, and fintech to provide solutions toward the Fourth Industrial Revolution and Society 5.0.