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Sylvain Sardy is an Associate Professor in the Department of Mathematical Sciences at the University of Geneva. He holds a Ph.D. in Statistics from the University of Washington. His research interests encompass a broad spectrum of topics within the realm of data science, focusing primarily on statistical methods and machine learning. He is particularly adept in areas related to regression, classification, and predictive modeling, with a keen interest in model selection and sparsity. His contributions to the field reflect a commitment to advancing statistical methodologies that enhance data analysis capabilities across various applications. As an educator, he is dedicated to fostering a deep understanding of data science principles among his students, preparing them to tackle complex challenges using advanced statistical techniques. Through his work, Professor Sardy aims to bridge the gap between theoretical research and practical implementation in data-driven environments.
Includes Department of Management, Finance, Economics, and Statistics programs. GMAT is strongly encouraged but not mandatory for most GSEM masters.