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Rachel Ward is a Professor of Mathematics at the University of Texas at Austin. Her research focuses on applied harmonic analysis, probability theory, optimization methods, data science, and machine learning. She has contributed significantly to the field, publishing numerous papers and collaborating with leading researchers. Her work applies advanced mathematical techniques to practical problems, bridging the gap between abstract theory and real-world applications. Ward is dedicated to mentoring students and fostering a collaborative research environment.
General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.