| May 11, 2026 | New preprint out: One Operator for Many Densities: Amortized Approximation of Conditioning by Neural Operators, proposing an operator learning framework for conditional inference. This is joint work with Edoardo Calvello, Ayoub Belhadji and Nicholas H. Nelsen. Find the pre-print here. |
| Apr 16, 2026 | New preprint out: One-Shot Generative Flows: Existence and Obstructions, studying a central question in the design of probabilistic generative models. This is joint work with Daniel Sharp and Youssef Marzouk. Find the pre-print here. |
| Mar 22, 2026 | Gave an invited talk titled Design of dynamic measure transport: a study of one-shot sampling at the SIAM Conference on Uncertainty Quantification (UQ26) in the mini-symposium Measure flows for inverse problems and machine learning. |
| Jun 30, 2025 | Gave a talk titled Optimal Scheduling of Dynamic Transport at the Conference on Learning Theory (COLT 2025). |
| Nov 24, 2024 | Gave a chalk talk titled Optimal Schedules in Affine Dynamic Transport at the Oberwolfach Seminar: Control and Machine Learning. |