Memberships
- Royal Statistical Society (RSS) Computational Statistics and Machine Learning (CSML) Section Committee Member.
External Organisation
- Isaac Newton Institute (INI) Satellite Programme on Diffusions in Machine Learning
- Isaac Newton Institute (INI) Satellite Programme on Heavy Tails in Machine Learning
- RSS CSML Section Workshop on Gradient Flows for Sampling, Inference, and Learning. [Youtube videos]
- Turing Theory and Methods Challenge Fortnight (2022-2023), Accelerating Generative Models and Nonconvex Optimisation. [outputs]
- SMC Masterclass (organiser and lecturer), Bristol, UK, 2022.
- 06/05/2024: Introduction to Bayesian filtering: theory & methods, Summer School on Bayesian filtering: fundamental theory and numerical methods (SSBF 2024). [lecture material], [video 1], [video 2]
- SMC Masterclass (organiser and lecturer), Bristol, UK, 2022. [notes, [Lecture 1], [Lecture 2]
- 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
- 15/04/2024: Tweedie Moment Projected Diffusion Models for Inverse Problems, Amazon Berlin StatML Workshop
- 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
- 21/06/2023: Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation, Isaac Newton Institute, Generative Models for Inverse Problems Workshop [video]
- 22/05/2023: Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation, University of Edinburgh, Statistics Seminar