Hoffmann, Franca

Committee Member — 9 thesises

• Conger, Lauren Elaine — Analysis of Large-Scale Systems: Coupled Multispecies Gradient Flows and Distributed Control (2026, Dissertation (Ph.D.))
• Darcy, Matthieu D. — Gaussian Processes for Scientific Machine Learning: PDE Solvers and Operator Learning (2027, Dissertation (Ph.D.))
• Teegavarapu, Ritvik S. — Interacting Particle Systems for Sampling from Non-Gaussian Targets (2026, Senior thesis (Major))
• Burov, Dmitry Anatolyevich — Kernel Methods for Learning About Complex Dynamical Systems (2024, Dissertation (Ph.D.))
• Epperly, Ethan Nicholas — Make the Most of What You Have: Resource-Efficient Randomized Algorithms for Matrix Computations (2025, 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.))
• Batlle Franch, Pau — Optimization-Based Statistical Inference: Constrained Inverse Problems, Worst-Case Priors, and Kernel Regression (2025, Dissertation (Ph.D.))
• Wang, Yixuan — Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches (2026, Dissertation (Ph.D.))