| Mar 2026 | Looking forward to giving a Tutorial on Diffusion Models at the SIAM Conference on Uncertainty Quantification in March and to be chairing a session on the Probabilistic Foundations for Language Models. |
| Oct 2025 | Visited CWI Amsterdam to teach about Inverse Problems at the Autumn School on Scientific Machine Learning and Numerical Methods. Thank you to all of the organizers for the opportunity! |
| Sep 2025 | Excited to be starting a new academic position at the University of Toronto! |
| Sep 2024 | Our paper on approximation theory for measure transport algorithms was accepted in AMS: Mathematics of Computations! |
| Jul 2024 | Gave a joint keynote talk at the CIRM-Marseille Digital Twins for Inverse Problems Workshop on Bayesian inference via dimension reduction. Thank you to all of the organizers! |
| Nov 2023 | Gave the USNCCM Large-Scale TTA early-career colloquium on dimension reduction methods for probabilistic modeling. Thank you Shelly and Patrick for the invitation! |
| Oct 2023 | Our paper on learning monotone triangular transports was accepted for publication in Foundations of Computational Mathematics! |
| Oct 2023 | Our two submissions to NeurIPS 2023: Debias Coarsely, Sample Conditionally for Statistical Downscaling (spotlight) and Structured Neural Networks (poster) were accepted! Many thanks to my co-authors for the great collaborations. |
| Aug 2023 | I presented our work on conditional generative models at ICIAM 2023 in Tokyo. Thank you Malena for the invitation! |