Stuart, Andrew M.

Advisor — 7 thesises

• Burov, Dmitry Anatolyevich — Kernel Methods for Learning About Complex Dynamical Systems (2024, Dissertation (Ph.D.))
• Levine, Matthew Emanuel — Machine Learning and Data Assimilation for Blending Incomplete Models and Noisy Data (2023, Dissertation (Ph.D.))
• Kovachki, Nikola Borislavov — Machine Learning and Scientific Computing (2022, Dissertation (Ph.D.))
• Chen, Yifan — On Multiscale and Statistical Numerical Methods for PDEs and Inverse Problems (2023, Dissertation (Ph.D.))
• Calvello, Edoardo — Operator Learning for Inference in Dynamical Systems (2026, Dissertation (Ph.D.))
• Trautner, Margaret Katherine — Operator Learning for Scientific Computing (2025, Dissertation (Ph.D.))
• Nelsen, Nicholas Hao — Statistical Foundations of Operator Learning (2024, Dissertation (Ph.D.))