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Jason Klusowski is an Assistant Professor in the Department of Operations Research and Financial Engineering at Princeton University. His research encompasses a variety of topics within Data Science, emphasizing statistical learning and machine learning methodologies. He has a keen interest in deep learning techniques and decision tree learning, which are pivotal in analyzing complex datasets. Klusowski's work also delves into high-dimensional statistics and information theory, providing insights into the underlying principles of data analysis. His contributions extend to statistical physics and network modeling, aiming to develop algorithms that can handle the intricacies of modern data challenges. Klusowski is dedicated to advancing theoretical foundations while promoting practical applications in financial engineering and operational research.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.