Current Graduate PhD Students
Meghana Velagar (AMATH)
PhD 2018 (Expected)
Research Area: Machine Learning and Data Analysis, Applications in Atmospheric Chemistry
Research Area: Machine Learning and Data Analysis, Applications in Atmospheric Chemistry
Dan Shea (5th Year - Material Science with Steven L. Brunton)
PhD 2021 (Expected)
Research Area: Data-Driven Boundary Value Problems & Discovery
Research Area: Data-Driven Boundary Value Problems & Discovery
Megan Morrison (5th Year - AMATH)
PhD 2021 (Expected)
Research Area: Networks and Dynamical Systems
Research Area: Networks and Dynamical Systems
Ariana Mendible (5th Year - Mechanical Engineering with Steven Brunton)
PhD 2021 (Expected)
Research Area: Control and Dynamical Systems, Fluid Flows
Research Area: Control and Dynamical Systems, Fluid Flows
Katherine Owens (4th Year - AMATH)
PhD 2021 (Expected)
Research Area: Modeling of Complex Systems
Research Area: Modeling of Complex Systems
Yuying Liu (4th Year - AMATH with Steven L. Brunton)
PhD 2021 (Expected)
Research Area: Multi-Scale Phenomenon, Machine Learning, Data-Driven Dynamical Systems
Research Area: Multi-Scale Phenomenon, Machine Learning, Data-Driven Dynamical Systems
Diya Sashidhar (4th Year -AMATH)
PhD 2021 (Expected)
Research Area: Data-driven modeling and forecasting
Research Area: Data-driven modeling and forecasting
Andy Goldschmidt (4th Year - Physics)
PhD 2020 (Expected)
Research Area: Quantum Computing
Research Area: Quantum Computing
Kardierdan Kaheman (4th Year - Mechanical Engineering with Steven Brunton)
PhD 2021 (Expected)
Research Area: Dynamical Networks and Data-Driven Physics
Research Area: Dynamical Networks and Data-Driven Physics
Shervin Sahba (4th 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 (3rd 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 (3rd Year - AMATH with Sasha Aravkin)
PhD 2023 (Expected)
Research Area: Optimization and Machine Learning
Research Area: Optimization and Machine Learning
Olivia Thomas (3rd Year -Physics)
PhD 2023 (Expected)
Research Area: Computational Neuroscience
Research Area: Computational Neuroscience
Katie Johnson (2nd Year - AMATH)
PhD 2024 (Expected)
Research Area: Multiscale Physics and Coarse-Graining
Research Area: Multiscale Physics and Coarse-Graining
JIazhong Mei (2nd Year - AMATH)
PhD 2024 (Expected)
Research Area: Optimization and Sensors
Research Area: Optimization and Sensors
Joey Williams (2nd Year - AMATH)
PhD 2024 (Expected)
Research Area: Fluid Dynamics
Research Area: Fluid Dynamics
Wan Jin Yeo (2nd Year - Physics)
PhD 2024 (Expected)
Research Area: Imaging
Research Area: Imaging
Matthew Kafker (1st Year - Physics)
PhD 2025 (Expected)
Research Area: Data-Driven Multiscale Physics
Research Area: Data-Driven Multiscale Physics