Very Short Bio

I am a ~~PhD student~~ (graduated May 7) @INRIA Grenoble-Alpes in the STATIFY team. Prior to that, I studied Maths & Computer Science at Grenoble INP - Ensimag and Applied Mathematics at Imperial College London. Living in Grenoble, France, I can be found skiing during winter and cycling during summer.

You can reach me at: jacopo.iollo [at] inria.fr

Research Interests

My research revolves around computational methods for Bayesian inference. In particular, my PhD topic focuses on Bayesian Optimal Experimental Design, which involves designing the most efficient experiments or measurements to maximize the information gained from limited data. As this is a nested sampling and optimization problem, I have become quite interested in sampling and optimization problems and the equivalence between the two.

News

July 2025

🗣️ Invited Talk at the Monte Carlo Methods Conference 2025, Chicago, USA
“Computational Methods for Bayesian Experimental Design”

📄 Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design – new preprint with G. Oudoumanessah et al.

June 2025

🎙️ Invited Keynote at the Isaac Newton Institute, Cambridge, UK
“Diffusion Based Bayesian Experimental Design”

📢 Invited Talk at the IMS Spring Research Conference 2025, New York, USA
“Advancing Bayesian Experimental Design for Practical Applications”

May 2025

🏫 Wrapping up PhD at Inria / Université Grenoble-Alpes
“Bayesian Experimental Design meets Diffusion Models”

April 2025

🧠 ICLR 2025 Spotlight (Top 5%)
📄 Bayesian Experimental Design via Contrastive Diffusions

January 2025

📢 Talk at Mostly Monte Carlo Seminar, Dauphine University, Paris
“Bi-Level Optimization Meets Diffusions for Tractable Bayesian Experimental Design”

September 2024

🎓 Visiting Scholar at Carnegie Mellon University (Sept–Nov 2024)

July 2024

📄 PASOA: Particle-Based Bayesian Optimal Adaptive Design
Published at ICML 2024, Vienna – Poster presentation

June 2024

🧪 Talk at 2nd Bayes-Duality Workshop, Tokyo
“PASOA: Particle-Based Bayesian Optimal Adaptive Design”

Publications

Bayesian Experimental Design via Contrastive Diffusions, Jacopo Iollo, Christophe Heinkelé, Pierre Alliez, Florence Forbes, ICLR 2025 Spotlight
PASOA: PArticle baSed Bayesian Optimal Adaptive design, Jacopo Iollo, Christophe Heinkelé, Pierre Alliez, Florence Forbes ICML 2024
Tempered SMC for Sequential Bayesian Optimal Design, Jacopo Iollo, Christophe Heinkelé, Pierre Alliez, Florence Forbes GRETSI 2023