Statistical machine learning
About me
My background is in Bayesian inference, Kalman filtering, time-series modeling, state-space models, and online learning.
Talks
You can find many of the slides here.
- April 2026 | MRC Biostatistics Unit, University of CambridgeLearning and adapting in non-stationary environments
- September 2025 | MatheEXLab Webinar @ NUS | OnlineFrom spaceships to neural networks: Bayesian filtering as the language of online continual learning
- June 2025 | Bayescomp Satellite Workshop on misspecified models | SingaporeA unifying framework for generalised Bayesian online learning in non-stationary environments
- June 2025 | UCL ELLIS CSML Seminar | EnglandA unifying framework for generalised Bayesian online learning in non-stationary environments