Current Graduate PhD Students
Jake Stevens-Haas (7th Year - AMATH with Sasha Aravkin)
PhD 2023 (Expected)
Research Area: Optimization and Machine Learning
Research Area: Optimization and Machine Learning
Katie Johnson (6th Year - AMATH)
PhD 2024 (Expected)
Research Area: Multiscale Physics and Coarse-Graining
Research Area: Multiscale Physics and Coarse-Graining
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
Stefano RIva
Milan Polytechnic University
Matteo Tomasetto
Milan Polytechnic University