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Sarah Sterman is a Research Assistant Professor at the Siebel School of Computing and Data Science at the University of Illinois. Her work focuses on the intersection of human-computer interaction and innovative computing methodologies. She is involved in various projects aimed at improving educational accessibility and effectiveness using artificial intelligence. As part of her research interests, she explores how technology can facilitate learning and comprehension of complex concepts like debugging. Recently, she was awarded a Google Academic Research Award for her project on teaching debugging skills through large language models. In addition to her research endeavors, she teaches several courses related to interactive computing and research methods, contributing to the academic growth and development of her students.
GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.