Next Position: BAE Systems

PhD 2020, Physics, University of Washington

Advisors: Steven L. Brunton and Nathan Kutz

Selected publications:

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

Next Position: Postdoctoral Fellow at UW

PhD 2020, Applied Mathematics, University of Washington

Advisors: Steven L. Brunton and Nathan Kutz

Selected publications:

PySINDy: A Python package for the sparse identification of nonlinear dynamical systems from data (de Silva, Champion, Quade, Loiseau, Kutz, Brunton)

Discovery of Physics from Data: Universal Laws and Discrepancy Models (de Silva, Higdon, Brunton, Kutz)

Next Position: Postdoctoral Fellow at UW

PhD 2020, Mechanical Engineering, University of Washington

Advisors: Steven Brunton and Tom Daniel

Selected publications:

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

Next Position: Postdoctoral Fellow at UW

PhD 2019, Applied Mathematics, University of Washington

Advisors: Steven L. Brunton and Nathan Kutz

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Selected publications:
Data-driven discovery of coordinates and governing equations (Champion, Lusch, Kutz, Brunton)

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

Next Position: NSF Postdoctoral Fellow, MIT

PhD 2019, Applied Mathematics, University of Washington

Advisors: Steven L. Brunton and Nathan Kutz

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Selected publications:

• Data-driven discovery of partial differential equations (Rudy, Proctor, Brunton, Kutz)

• Deep learning of dynamics and signal-noise decomposition with time-stepping constraints (Rudy, Kutz, Brunton)

Next Position: Co-Founder XFlow Energy

PhD 2019, Mechanical Engineering, University of Washington

Advisors: Steven L. Brunton and Brian Polagye

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Selected publications:

• Intracycle angular velocity control of cross-flow turbines (Strom, Brunton, Polagye)

Next Position: NSF Postdoctoral Fellow, Caltech

PhD 2018, Applied Mathematics, University of Washington

Advisors: Steven L. Brunton and J. Nathan Kutz

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Selected publications:

• Data-driven sparse sensor placement (Manohar, Brunton, Kutz, Brunton)

• Predicting shim gaps in aircraft assembly with machine learning and sparse sensing (Manohar, Hogan, Buttrick, Banerjee, Kutz, Brunton)

Next Position: Postdoctoral Fellow, Lawrence Berkeley National Labs

PhD 2018, Mechanical Engineering, University of Washington

Advisor: Steven L. Brunton

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Selected publications:

• Data-driven methods in fluid dynamics: Sparse classification from experimental data (Bai, Brunton, Brunton, Kutz, Kaiser, Spohn, Noack)

• Dynamic mode decomposition for compressive system identification (Bai, Kaiser, Proctor, Kutz, Brunton)

Next Position: Postdoctoral Fellow, Harvard and Massachussettes General Hospital

PhD 2016, Mechanical Engineering, University of Washington
Advisors: Per Reinhall and Steven L. Brunton


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Selected publications:

• Development and validation of warning system of ventricular tachyarrhythmia in patients with heart failure with heart rate variability data (Au-Yeung, Reinhall, Bardy, Brunton)

Next position: PhD student in the Department of Mathematics at the University of British Columbia (w/ Dr. Michael Friedlander)

Graduate student (2020), co-advised with Zhuoyuan Song

Next Position: PhD candidate, University of Florida

Masters Degree 2016, Mechanical Engineering, University of Washington
Advisors: Steve Brunton and Jim Riley

Next Position: PhD candidate, Tufts University

Masters Degree 2015, Mechanical Engineering, University of Washington 

Advisors: Steve Brunton and Jim Riley

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Selected publications:

• Lagrangian coherent structures and inertial particle dynamics (Madhavan, Brunton, Riley)