| Jun 15, 2026 | Started an internship at Microsoft, working on generative retrieval and exploring how language models can be trained to perform retrieval over large-scale indexes. The work investigates jointly learning representation and retrieval in a single model, effectively compressing the retrieval index into the model weights and reducing storage costs. |
| May 13, 2026 | New preprint out on CHASM: Online Changepoint Detection in Temporal and Cross-Variable Dependence. tl;dr: formalised for vector autoregressive processes, detects changes through the eigenvalues of a recursively estimated transition operator, with a multivariate complex-valued change statistic and successful applications to image and text data streams. |
| Jul 11, 2025 | Our extended paper, Online Changepoint Detection in Multivariate Seasonal Time Series via Dynamic Mode Decomposition, is now under review at a journal, with refined methodology, new theoretical results, and a substantially broader evaluation focused on biomedical signals. |
| May 24, 2024 | New preprint out on Online Changepoint Detection via Dynamic Mode Decomposition. tl;dr: introduces an online, nonparametric approach for multivariate time series, including non-i.i.d. settings with trends, periodicity, or seasonality. |