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Samuel Onyambu is a Fixed Term Assistant Professor specializing in the fields of Metaheuristic Algorithms, Hyperparameter Optimization, and Data Subsampling Design Generation. His academic interests span various aspects of statistical methodologies and their applications in data science, with a strong focus on optimizing algorithm performance and efficiency. Throughout his academic career, Professor Onyambu has engaged in multiple research projects that explore innovative approaches to data analysis, enabling more effective decision-making processes in complex environments. He is dedicated to contributing to the advancement of statistical science and its interdisciplinary applications. As part of his role at UCLA, he strives to foster an engaging learning environment for students, encouraging them to explore the depths of data science and its theoretical foundations.
Department of Economics admits primarily for the PhD program.