PhD student in probabilistic machine learning
Queen Mary University | Oxford-Man Institute
About
I am interested in developing algorithms that learn from streaming data and adapt to changes in the environment.
Research
- Outlier-robust Kalman Filtering through Generalised Bayes @ ICML 2024
- Detecting toxic flow @ arXiv 2023 (preprint)
- Low-rank extended Kalman filtering for online learning of neural networks from streaming data @ CoLLAs 2023
- Efficient online Bayesian inference for neural bandits @ AiStats 2022
Talks
- Outlier-robust Kalman Filtering through Generalised Bayes — May 2024, UCL Stats PhD seminar
- Detecting toxic flow — November 2023, Oxford-Man institute
- Online training of Bayesian neural networks — November 2023, stats students’s seminar, University of Edinburgh (online)
- One-pass learning methods for Bayesian neural networks — PhD fire talks 2023, Queen Mary University
- Subspace neural bandits — AiStats 2021 (online)