Current Graduate PhD Students

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Meghana Velagar (AMATH)

 

PhD 2018 (Expected)
Research Area: Machine Learning and Data Analysis, Applications in Atmospheric Chemistry

 

 

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Emily Clark (5th Year - Physics with Steven L. Brunton)

 

PhD 2020 (Expected)
Research Area: Sensor design and placement

 

 

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Daniel Dylewski (5th Year - Physics)

 

PhD 2020 (Expected)
Research Area: Dynamical Networks and Data-Driven Physics

 

 

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Daniel Shea (5th Year - Material Science)

 

PhD 2020 (Expected)
Research Area: Materials Discovery

 

 

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Chang Sun (5th Year - Physics)

 

PhD 2020 (Expected)
Research Area: Mode-locked lasers, Frequency Combs, Nonlinear Waves

 

 

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Seth Hirsh (4th Year - Physics with Bing Brunton)

 

PhD 2021 (Expected)
Research Area: Data-Driven Physics

 

 

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Megan Morrison (4th Year - AMATH)

 

PhD 2021 (Expected)
Research Area: Computational Neuroscience

 

 

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Ariana Mendible (4th Year - Mechanical Engineering with Steven Brunton)

 

PhD 2021 (Expected)
Research Area: Control and Dynamical Systems, Fluid Flows

 

 

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Andy Goldschmidt (3rd Year - Physics)

 

PhD 2022 (Expected)
Research Area: Multiscale and mean-field modeling of complex dynamics

 

 

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Katherine Lacy (3rd Year - AMATH)

 

PhD 2022 (Expected)
Research Area: Computational Biology

 

 

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Yuying Liu (3rd Year - AMATH)

 

PhD 2022 (Expected)
Research Area: Neural Networks for Multiscale Dynamical Systems

 

 

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Diya Sashidhar (3rd Year - AMATH)

 

PhD 2022 (Expected)
Research Area: Computational Biology

 

 

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Shervin Sahba (3rd Year - Physics)

 

PhD 2022 (Expected)
Research Area: Frequency comb mode-locked lasers

 

 

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Megan Auger (2rd Year - Mechanical Engineering)

 

PhD 2022 (Expected)
Research Area: Biomechanics and Machine Learning

 

 

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Olivia Thomas (2rd Year - Physics)

 

PhD 2022 (Expected)
Research Area: Computational Neuroscience

 

 

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