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Alison Norman is a Professor at the University of Texas at Austin in the Department of Computer Science. She received her M.S. and Ph.D. in Computer Science from the same institution. Her teaching focuses on systems for undergraduate students, and she is passionate about outreach to underserved communities. Her research interests lie at the intersection of supercomputing and program analysis, with a special interest in static techniques to improve checkpointing. She is also interested in large-scale simulations. Norman has contributed to various academic conferences and publications, including her work on scalable algorithms for compiler-placed staggered checkpointing and the causes of cheating in educational settings. Throughout her career, she has emphasized the importance of clear expectations in the classroom and the role of effective teaching methods.
University of Texas at Austin • Austin, TX
Teaching and research in Computer Science, focusing on systems and outreach for underserved communities.
General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.