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Newar Wali

Nawar Wali is a Ph.D. student in the Department of Computer Science. His advisor is Sara Hooshangi.

Wali focuses on research at the intersection of computer science education and machine learning. He is interested in using computational techniques to analyze educational datasets, particularly transfer students in computer science, and is interested in understanding their unique challenges and developing data-driven strategies to better support their success.

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