Current Graduate PhD Students
Jake Stevens-Haas (6th Year - AMATH with Sasha Aravkin)
PhD 2023 (Expected)
Research Area: Optimization and Machine Learning
Research Area: Optimization and Machine Learning
Olivia Thomas (6th Year -Physics)
PhD 2023 (Expected)
Research Area: Computational Neuroscience
Research Area: Computational Neuroscience
Katie Johnson (5th Year - AMATH)
PhD 2024 (Expected)
Research Area: Multiscale Physics and Coarse-Graining
Research Area: Multiscale Physics and Coarse-Graining
JIazhong Mei (5th Year - AMATH)
PhD 2024 (Expected)
Research Area: Optimization and Sensors
Research Area: Optimization and Sensors
Joey Williams (5th Year - AMATH)
PhD 2024 (Expected)
Research Area: Fluid Dynamics
Research Area: Fluid Dynamics
Yuxuan Bao (3rd Year - AMATH)
PhD 2025 (Expected)
Research Area: Machine learning and model discovery
Research Area: Machine learning and model discovery
Ziyu Lu (4th Year - AMATH with Eric Shea-Brown)
PhD 2025 (Expected)
Research Area: Computational Neuroscience
Research Area: Computational Neuroscience
Laurel Doyle (3rd Year - AMATH)
PhD 2025 (Expected)
Research Area: Machine learning and model discovery
Research Area: Machine learning and model discovery
Sara Ichinaga (3rd Year - AMATH with Steven Brunton)
PhD 2025 (Expected)
Research Area: Machine learning and model discovery
Research Area: Machine learning and model discovery
Ike Griss Salas (3rd Year - AMATH)
PhD 2025 (Expected)
Research Area: Machine learning and model discovery
Research Area: Machine learning and model discovery
Mike Wendels (3rd Year - AMATH)
PhD 2025 (Expected)
Research Area: Machine learning and model discovery
Research Area: Machine learning and model discovery
Mars Gao (2nd Year - CSE)
PhD 2024 (Expected)
Research Area: Machine learning and statistical learning
Research Area: Machine learning and statistical learning
Jan Williams (2nd Year - ME with Krithika Manohar)
PhD 2027 (Expected)
Research Area: Optimization and Sensors
Research Area: Optimization and Sensors
Nicholas Zoleman (2nd Year - ME with Steven Bruton)
PhD 2027 (Expected)
Research Area: Machine Learning for Physics and Engineering
Research Area: Machine Learning for Physics and Engineering
Pavel Komarov (1st Year - ECE)
PhD 2028 (Expected)
Research Area: Machine Learning for Physics and Engineering
Research Area: Machine Learning for Physics and Engineering
David Zoro (1st Year - ECE)
PhD 2028 (Expected)
Research Area: Machine Learning for Physics and Engineering
Research Area: Machine Learning for Physics and Engineering
Post-Bac Students
Mel Mashiku
Research Area: Machine Learning for Physics and Engineering
Visiting PhD Students