Memberships
- Royal Statistical Society (RSS) Computational Statistics and Machine Learning (CSML) Section Committee Member.
Editor
- Associate Editor for Statistics and Computing (2024 - ).
External Organisation
Lectures
Recent (and Upcoming) Invited Conference/Workshop Talks
- 13/01/2025: Diffusion-based Learning of Latent Variable Models, Workshop on Recent Developments in Theoretical Machine Learning, Imperial College London.
- 15/04/2024: Tweedie Moment Projected Diffusion Models for Inverse Problems, Amazon StatML Workshop, Berlin, Germany.
- 21/06/2023: Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation, Isaac Newton Institute, Generative Models for Inverse Problems Workshop, Cambridge, UK [video].
- 6/5/2022: Convergence Properties for Optimised Adaptive Importance Samplers, Invited speaker at the 5th Workshop on Sequential Monte Carlo Methods (SMC2022), Madrid.
Recent (and Upcoming) Seminar Talks
- 09/01/2025: Diffusion-based Maximum Marginal Likelihood Estimation: Overdamped, Accelerated, and Proximal, Data Analytics Seminar, ESSEC Business School, Paris.
- 13/11/2024: Diffusion-based Maximum Marginal Likelihood Estimation: Overdamped, Accelerated, and Proximal, Information Theory Seminar, University of Cambridge, [video]
- 24/04/2024: Interacting Particle Diffusions for Statistical Inference, SQUIDS Seminar, University of Manchester
- 08/02/2024: Diffusions for Statistical Inference and Inverse Problems, Southampton S3RI Seminar
- 19/01/2024: Diffusions for Statistical Inference and Inverse Problems, Imperial Statistics Seminar
- 20/10/2023: Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation, University of Oxford, Statistics Seminar
- 22/05/2023: Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation, University of Edinburgh, Statistics Seminar