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Xiaowu Dai is an Assistant Professor in the Department of Statistics at the University of California, Los Angeles (UCLA). His research focuses on several areas within statistics and data science, particularly emphasizing machine learning techniques applied to economics and dynamic systems. He is also interested in statistical inference in high-dimensional contexts, as well as causal inference methodologies. Through his work, Dai contributes to the development of innovative statistical methods that enhance the understanding of complex data patterns and facilitate decision-making in uncertain environments. His expertise is recognized through his participation in various research projects and scholarly activities, aimed at advancing statistical theory and application across different domains.
Department of Economics admits primarily for the PhD program.