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Dale Kim is a fixed-term Assistant Professor in the Department of Statistics and Data Science at the University of California, Los Angeles (UCLA). His research primarily focuses on statistical methods for factor analysis, missing data techniques, and computational statistics. With a commitment to advancing statistical methodologies and their applications, Dr. Kim strives to explore innovative solutions to complex data challenges. His work has significant implications in various fields requiring rigorous statistical analysis, contributing to the understanding and interpretation of data. Dr. Kim is also actively involved in teaching and mentoring students, providing guidance on statistical concepts and their practical applications in real-world scenarios. He maintains a personal website where he shares insights from his research and resources for students and fellow researchers in the field.
University of California, Los Angeles • Los Angeles, CA
Fixed-term Assistant Professor in the Department of Statistics and Data Science.
Department of Economics admits primarily for the PhD program.