Our curiosity-driven research group bridges fluid dynamics, machine learning, and systems biology. We develop new theory and algorithms for analysis and control of chaotic systems—ranging from turbulent puffs to neural spikes—and collaborate to apply these tools broadly. One part of the lab develops novel machine learning algorithms for time series, drawing upon the classical physics of complex systems such as strange attractors, cellular automata, and random graphs. The second part of the group applies these principles to real-world complex systems such as biological measurements and fluid mixing.
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William Gilpin, Assistant Professor of Physics
Department of Physics & Oden Institute for Computational Engineering and Sciences
The University of Texas at Austin
[CV] [Twitter] [Web] [Email] [GitHub]
Postdocs. Please email William directly. Please include a CV or resume, and a few sentences explaining which area of the lab’s research you are interested in (or if you want to explore a new area). Applicants from diverse or nontraditional academic or personal backgrounds are welcome!
Graduate Students. If you have not yet applied, please apply to the Department of Physics or the Oden CSEM program. Other departments are definitely possible, too. If you are already at UT, please email William.
All positions are for Fall 2022 at the earliest.
Yasa Baig. Harvard QBio REU while undergrad at Duke. Next position: Marshall Scholar at Cambridge