Moore Sloan Postdoctoral Fellow

(2016-present, with J. Nathan Kutz)

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PhD 2015, Fluid Dynamics, Universite de Poitiers (Advisor: Bernd Noack)

Thesis: Cluster-based reduced order models

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Selected publications:

• Data-driven discovery of Koopman eigenfunctions for control (Kaiser, Kutz, Brunton)

• Sparse identification of nonlinear dynamics for model predictive control in the low-data limit (Kaiser, Kutz, Brunton)

Postdoctoral Fellow

(2018-present, with Bing W. Brunton)

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PhD 2018, Mechanical Engineering, Florida State University (Advisor: Kunihiko (Sam) Taira)

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Selected publications:

• Networked oscillator based modeling and control of unsteady fluid flows (Nair, Brunton, Taira)

• Network Structure of Two-Dimensional Isotropic Turbulence (Taira, Nair, Brunton)

Postdoctoral Fellow

(2019-present, with Nathan Kutz)

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PhD 2019, Applied Mathematics, University of Washington (Advisor: Nathan Kutz and Steve Brunton)

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Selected publications:

• Discovery of Nonlinear Multiscale Systems: Sampling Strategies and Embeddings (Champion, Brunton, Kutz)

DAAD PRIME Postdoctoral Fellow

(2019-present, with Richard Semaan)

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PhD 2018, Fluid Dynamics, University of Chile (Advisor: Williams R. Calderon Munoz)

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Postdoctoral Fellow

(2019-present, with Nathan Kutz)

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PhD 2019, Mathematics, University of California Davis (Advisor: Raissa D’Souza)

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PhD student (2015-present) co-advised with Tom Daniel

Selected publications:

• Neural-inspired sensors enable sparse, efficient classification of spatiotemporal data (Mohren, Daniel, Brunton, Brunton)

PhD student (2016-present) co-advised with Nathan Kutz

Selected publications:

• Greedy Sensor Placement with Cost Constraints (Clark, Askham, Brunton, Kutz)