Current Graduate PhD Students

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Jake Stevens-Haas (6th Year - AMATH with Sasha Aravkin)

 

PhD 2023 (Expected)
Research Area: Optimization and Machine Learning

 

 

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Katie Johnson (5th Year - AMATH)

 

PhD 2024 (Expected)
Research Area: Multiscale Physics and Coarse-Graining

 

 

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Joey Williams (5th Year - AMATH)

 

PhD 2024 (Expected)
Research Area: Fluid Dynamics

 

 

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Yuxuan Bao (3rd Year - AMATH)

 

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

 

 

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Ziyu Lu (4th Year - AMATH with Eric Shea-Brown)

 

PhD 2025 (Expected)
Research Area: Computational Neuroscience

 

 

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Sara Ichinaga (3rd Year - AMATH with Steven Brunton)

 

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

 

 

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Ike Griss Salas (3rd Year - AMATH)

 

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

 

 

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Mike Wendels (3rd Year - AMATH)

 

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

 

 

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Mars Gao (2nd Year - CSE)

 

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

 

 

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Jan Williams (2nd Year - ME with Krithika Manohar)

 

PhD 2027 (Expected)
Research Area: Optimization and Sensors

 

 

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Nicholas Zoleman (2nd Year - ME with Steven Bruton)

 

PhD 2027 (Expected)
Research Area: Machine Learning for Physics and Engineering

 

 

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Pavel Komarov (1st Year - ECE)

 

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

 

 

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David Zoro (1st Year - ECE)

 

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

 

 

Post-Bac Students

 

 

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Mel Mashiku

 

Research Area: Machine Learning for Physics and Engineering

 

 

Visiting PhD Students

 

 

 

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