Current Graduate PhD Students
Shervin Sahba (6th Year - Physics)
PhD 2020 (Expected)
Research Area: Mode-locked lasers, Frequency Combs, Nonlinear Waves
Research Area: Mode-locked lasers, Frequency Combs, Nonlinear Waves
Megan Ebers (5th Year - Mechanical Engineering with Kat Steele
PhD 2023 (Expected)
Research Area: Data-Driven Engineering and Bio-Mechanics
Research Area: Data-Driven Engineering and Bio-Mechanics
Olga Dorabiala (5th Year - AMATH with Sasha Aravkin)
PhD 2023 (Expected)
Research Area: Optimization and Machine Learning
Research Area: Optimization and Machine Learning
Aleksei Sholokov (5th Year - AMATH with Steven Brunton)
PhD 2023 (Expected)
Research Area: Optimization and Machine Learning
Research Area: Optimization and Machine Learning
Jake Stevens-Haas (5th Year - AMATH with Sasha Aravkin)
PhD 2023 (Expected)
Research Area: Optimization and Machine Learning
Research Area: Optimization and Machine Learning
Olivia Thomas (5th Year -Physics)
PhD 2023 (Expected)
Research Area: Computational Neuroscience
Research Area: Computational Neuroscience
Katie Johnson (4th Year - AMATH)
PhD 2024 (Expected)
Research Area: Multiscale Physics and Coarse-Graining
Research Area: Multiscale Physics and Coarse-Graining
JIazhong Mei (4th Year - AMATH)
PhD 2024 (Expected)
Research Area: Optimization and Sensors
Research Area: Optimization and Sensors
Joey Williams (4th 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 (3rd Year - AMATH with Eric Shea-Brown)
PhD 2025 (Expected)
Research Area: Computational Neuroscience
Research Area: Computational Neuroscience
Laurel Doyle (2nd Year - AMATH)
PhD 2025 (Expected)
Research Area: Machine learning and model discovery
Research Area: Machine learning and model discovery
Mike Wendels (2nd Year - AMATH)
PhD 2025 (Expected)
Research Area: Machine learning and model discovery
Research Area: Machine learning and model discovery
Mars Gao (1st Year - CSE)
PhD 2024 (Expected)
Research Area: Machine learning and statistical learning
Research Area: Machine learning and statistical learning
Jan Williams (1st Year - ME)
PhD 2027 (Expected)
Research Area: Optimization and Sensors
Research Area: Optimization and Sensors
Nicholas Zoleman (1st Year - ME)
PhD 2027 (Expected)
Research Area: Machine Learning for Physics and Engineering
Research Area: Machine Learning for Physics and Engineering
Visiting PhD Students
Gabriele Bufolo (University of Brasilia)
Fall 2022
Jonas Kneifl
University of Stuttgart
Paolo Conti
Milan Polytenic