Current Graduate PhD Students

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Joey Williams (6th Year - AMATH)

 

PhD 2024 (Expected)
Research Area: Fluid Dynamics

 

 

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Ziyu Lu (6th Year - AMATH with Eric Shea-Brown)

 

PhD 2025 (Expected)
Research Area: Computational Neuroscience

 

 

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Yuxuan Bao (5th Year - AMATH)

 

PhD 2025 (Expected)
Research Area: Machine learning and model discovery

 

 

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Sara Ichinaga (5th Year - AMATH with Steven Brunton)

 

PhD 2025 (Expected)
Research Area: Machine learning and model discovery

 

 

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Ike Griss Salas (5th Year - AMATH)

 

PhD 2025 (Expected)
Research Area: Machine learning and model discovery

 

 

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Mike Wendels (5th Year - AMATH)

 

PhD 2025 (Expected)
Research Area: Machine learning and model discovery

 

 

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Mars Gao (4th Year - CSE)

 

PhD 2024 (Expected)
Research Area: Machine learning and statistical learning

 

 

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Jan Williams (4thYear - ME with Krithika Manohar)

 

PhD 2027 (Expected)
Research Area: Optimization and Sensors

 

 

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Anna Dodson (3rd Year - AMATH)

 

PhD 2028 (Expected)
Research Area: Machine Learning for Physics and Engineering

 

 

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Pavel Komarov (3rd Year - ECE)

 

PhD 2028 (Expected)
Research Area: Machine Learning for Physics and Engineering

 

 

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Shuangshan Li (3rd Year - ECE)

 

PhD 2028 (Expected)
Research Area: Machine Learning for Physics and Engineering

 

 

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Fisher Ng (3rd Year - AMATH)

 

PhD 2028 (Expected)
Research Area: Machine Learning for Physics and Engineering

 

 

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Alexey Yermakov (3rd Year - ECE)

 

PhD 2028 (Expected)
Research Area: Machine Learning for Physics and Engineering

 

 

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David Zoro (3rd Year - ECE)

 

PhD 2028 (Expected)
Research Area: Machine Learning for Physics and Engineering

 

 

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Amy Rude (1st Year - AMATH)

 

BS 2025 (Expected) - Applied Mathematics
Research Area: Machine Learning and Neuroscience

 

 

Visiting PhD Students

 

 

 

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Matteo Lo Verso

 

Milan Polytechnic University

 

 

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Jan Zajac

 

ETH Zurich
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