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Guang Cheng is a Professor and the Graduate Vice Chair in the Department of Statistics at the University of California, Los Angeles (UCLA). His research focuses on Trustworthy Artificial Intelligence, Generative Data Science, and Deep Learning Theory. He has made significant contributions to the field of Statistical Machine Learning, developing novel methodologies that enhance the reliability and efficiency of AI algorithms. With an extensive background in statistics and data science, Dr. Cheng is an advocate for incorporating robust statistical principles into machine learning and AI applications. He is committed to training the next generation of statisticians and data scientists through rigorous academic courses and mentorship.
Department of Economics admits primarily for the PhD program.