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William Gilpin is an Assistant Professor in the Department of Physics at the University of Texas at Austin. His research focuses on the intersection of fluid dynamics, statistical learning, and systems biology, emphasizing the development of new theoretical algorithms for the analysis and control of chaotic systems. His work addresses complex phenomena such as turbulent bursts and neural spikes, aiming to apply these tools broadly across different areas. Professor Gilpin's projects include the creation of novel machine learning algorithms tailored for time series analysis, which draw on classical physics concepts and complex systems, such as strange attractors and cellular automata. His research spans several domains including nonlinear dynamics, chaos, data-driven modeling, statistical learning, mathematical biology, and complex fluid flows. Additionally, he explores pattern formation driven by biological measurements and fluid mixing, aiming to enhance our understanding of these systems in practical contexts.
General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.