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Adji Bousso Dieng is an Assistant Professor in the Department of Computer Science at Princeton University. Her research focuses on the intersection of artificial intelligence and the natural sciences, where she explores the applications of statistical machine learning, deep learning, and probabilistic modeling. With a strong background in machine learning methodologies, her work aims to develop novel approaches that can bridge the gap between AI and real-world scientific challenges, ultimately enhancing our understanding of complex systems through advanced computational techniques.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.