September 2025 | MatheEXLab Webinar @ NUS | Online: From spaceships to neural networks: Bayesian filtering as the language of online continual learning
September 2025 | Sensorimotor AI Journal Club | Online: Bayesian online learning in non-stationary environments
June 2025 | Bayescomp Satellite Workshop on misspecified models | Singapore: A unifying framework for generalised Bayesian online learning in non-stationary environments
June 2025 | UCL ELLIS CSML Seminar | England: A unifying framework for generalised Bayesian online learning in non-stationary environments
May 2024 | UCL Statistical Science Seminar | England: Outlier-robust Kalman Filtering through Generalised Bayes
Research Experience
Postdoctoral Researcher at Oxford-Man Institute
Background
I am a postdoctoral researcher at the Oxford-Man Institute, University of Oxford. My work develops probabilistic methods that allow intelligent agents to learn and adapt continually in uncertain, dynamic environments, especially when data is scarce or noisy. I use tools from filtering and Bayesian inference to unify methods and tackle challenges in online continual learning, neural contextual bandits, reinforcement learning, and time-series forecasting.