News

• 2026-05: Our paper Online Bayesian experimental design for partially observed dynamical systems has been accepted to ICML 2026.

• 2026-03: Our paper Maximin robust Bayesian experimental design is now out on arXiv. We propose a worst-case decision-making rule for dealing with misspecified models in Bayesian experimental design.

• 2026-01: We released a new JAX library for inference in state-space models called cuthbert! Checkout the tweet and the code.

• 2025-09: Our paper Sequential Monte Carlo for Policy Optimization in Continuous POMDPs has been accepted to NeurIPS 2025.

• 2025-07: If you’re attending MCM 2025, my coauthor Adrien Corenflos will be giving a talk on our joint work on Bayesian experimental design.

• 2025-06: Gave a talk on using particle filters for amortized BED at the Accelerating statistical inference and experimental design with machine learning workshop at the Isaac Newton Institute for Mathematical Sciences.

• 2024-12: Presented a poster at the Bayesian Decision-making and Uncertainty workshop at NeurIPS 2024 in Vancouver.