news

Oct 31, 2025 My fantastic colleague Jeremias Knoblauch and I are looking for a student for a PhD project on Scalable Inference for Entropy-Regularised Variational Objectives, starting in October 2026. Further details can be found here. Please get in touch if you think you would be a good fit for this project.
Oct 30, 2025 We have a new preprint on “Tuning-Free Sampling via Optimization on the Space of Probability Measures” on the arXiv! Check it out here.
Oct 25, 2025 On 29th January 2026 I will give a talk in the One World Approximate Bayesian Inference Seminar Series. See here for details.
Sep 1, 2025 We are holding a workshop on Geometry and Statistics at the Alan Turing Institute. Find out more about the event here.
Jun 2, 2025 I have just started a new position as Lecturer (Assistant Professor) in the Department of Statistical Science at University College London.
Nov 24, 2024 In Jun 2025, I will give an invited talk at the Isaac Newton Institute workshop on Accelerating statistical inference and experimental design with machine learning.
Oct 7, 2024 Our paper - “Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows” - has been accepted to NeurIPS 2024!
May 23, 2024 We have a new preprint on “Markovian Flow Matching” on the arXiv! Check it out here.
May 1, 2024 Our paper - “Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds” - has also been accepted as a spotlight at ICML 2024!
May 1, 2024 Our paper - “Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models” - has been accepted as a spotlight at ICML 2024!
Jan 19, 2024 Our paper - “Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting” - has been accepted to AISTATS 2024!
Oct 20, 2023 We are organising an exciting workshop at the RSS on Gradient Flows for Sampling, Inference, and Learning. Click here for more details.
Sep 21, 2023 Our paper - “Learning Rate Free Sampling in Constrained Domains” - has been accepted to NeurIPS 2023!
Sep 8, 2023 In Feb 2024, I will give an invited talk on parameter-free optimisation on the space of probability measures at ISMP 2024.
Aug 14, 2023 In Feb 2024, I will give an invited talk on online parameter estimation for interacting particle systems at the SIAM Conference on Uncertainty Quantification.
May 24, 2023 We have two new preprints up on arXiv! Check them out here and here.
May 3, 2023 Our paper - “Online Parameter Estimation for the McKean-Vlasov Stochastic Differential Equation” - has been accepted to Stochastic Processes and their Applications.
Apr 24, 2023 Our paper - “Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates” - has been accepted to ICML 2023!
Apr 17, 2023 On 9th June I will give a talk about our recent work on coin sampling in the OxCSML seminar series.