Xufeng is a Partner and Chief Data Scientist at Ipsos U.S. Data Labs, the company’s Data Science, Integration, and Analytics division. In this role, he leads data science, machine learning, and AI research and development initiatives across the organization. Additionally, he also serves as Global Head of Ipsos DataHub, the company’s centralized and managed data lake for survey data, where he oversees data enrichment, governance, and integration efforts. Before joining Ipsos, Xufeng held leadership positions in both industry and academia. He was a Senior Data Scientist and Technical Lead at UPS’s Advanced Analytics Group, and a Senior Data Scientist and Entrepreneurial Lead at nanoHUB. Previously, he served as Technical Director and Senior Research Scientist at the NSF-funded NEEDS research center at Purdue University, where he advanced the theory and simulation of compact models for computational electronics. Xufeng’s research in computational modeling has resulted in over 60 publications, more than 1,000 citations, and multiple international awards. He holds a Ph.D., M.S., and B.S. in Electrical and Computer Engineering from Purdue University, specializing in computational modeling and high-performance computing.