Current Graduate PhD Students
Joey Williams (6th Year - AMATH)
PhD 2024 (Expected)
Research Area: Fluid Dynamics
Research Area: Fluid Dynamics
Yuxuan Bao (4th Year - AMATH)
PhD 2025 (Expected)
Research Area: Machine learning and model discovery
Research Area: Machine learning and model discovery
Ziyu Lu (5th Year - AMATH with Eric Shea-Brown)
PhD 2025 (Expected)
Research Area: Computational Neuroscience
Research Area: Computational Neuroscience
Sara Ichinaga (4th 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 (4th Year - AMATH)
PhD 2025 (Expected)
Research Area: Machine learning and model discovery
Research Area: Machine learning and model discovery
Mike Wendels (4th Year - AMATH)
PhD 2025 (Expected)
Research Area: Machine learning and model discovery
Research Area: Machine learning and model discovery
Mars Gao (3rd Year - CSE)
PhD 2024 (Expected)
Research Area: Machine learning and statistical learning
Research Area: Machine learning and statistical learning
Jan Williams (3rd Year - ME with Krithika Manohar)
PhD 2027 (Expected)
Research Area: Optimization and Sensors
Research Area: Optimization and Sensors
Nicholas Zoleman (3rd Year - ME with Steven Bruton)
PhD 2027 (Expected)
Research Area: Machine Learning for Physics and Engineering
Research Area: Machine Learning for Physics and Engineering
Anna Dodson (2nd Year - AMATH)
PhD 2028 (Expected)
Research Area: Machine Learning for Physics and Engineering
Research Area: Machine Learning for Physics and Engineering
Pavel Komarov (2nd Year - ECE)
PhD 2028 (Expected)
Research Area: Machine Learning for Physics and Engineering
Research Area: Machine Learning for Physics and Engineering
Shuangshan Li (2nd Year - ECE)
PhD 2028 (Expected)
Research Area: Machine Learning for Physics and Engineering
Research Area: Machine Learning for Physics and Engineering
Fisher Ng (2nd Year - AMATH)
PhD 2028 (Expected)
Research Area: Machine Learning for Physics and Engineering
Research Area: Machine Learning for Physics and Engineering
Dima Tretiak (2nd Year - ME)
PhD 2028 (Expected)
Research Area: Machine Learning for Physics and Engineering
Research Area: Machine Learning for Physics and Engineering
Alexey Yermakov (2nd Year - ECE)
PhD 2028 (Expected)
Research Area: Machine Learning for Physics and Engineering
Research Area: Machine Learning for Physics and Engineering
David Zoro (2nd Year - ECE)
PhD 2028 (Expected)
Research Area: Machine Learning for Physics and Engineering
Research Area: Machine Learning for Physics and Engineering
Visiting PhD Students
Kjell Heinrich
Norwegian University of Science and Technology
Kristoffer Moen
Norwegian University of Science and Technology
Matteo Lo Verso
Milan Polytechnic University