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Ying Nian Wu is a Professor at UCLA, affiliated with the Department of Statistics and Data Science. His research interests encompass machine learning, computer vision, and generative AI, where he applies statistical methodologies to solve complex problems. With a robust background in statistical theory and application, he has contributed significantly to advancements in these interdisciplinary areas. Wu's work often integrates theoretical insights with practical implementations, making him a prominent figure in the statistical community. He has published numerous papers in top-tier journals and has been involved in various collaborative projects that bridge various domains within data science and its applications. Wu is dedicated to mentoring the next generation of statisticians and data scientists, providing them with the necessary skills to thrive in an increasingly data-driven world.
Department of Economics admits primarily for the PhD program.