Research
Publications
Scalable Spectral Clustering Based on Vector Quantization Computo, December 2024 doi.org/10.57750/1gr8-bk61
A General Framework for Joint Multi-State Models arXiv, October 2025 arxiv.org/pdf/2510.07128
Software
| Package | Description |
|---|---|
| jmstate | Python package for joint multi-state models. Implements estimation and prediction methods combining longitudinal markers with multi-state survival processes, with uniform high-probability control of survival functions. |
| uniformbands | Python package deriving non-asymptotic uniform confidence bands for survival functions in large probability, usable for rigorous inference under censoring. |
| sbcluster | Python package implementing Spectral Bridges, a scalable topological clustering algorithm. Partitions data via Voronoï regions then detects cluster boundaries and low-density zones through scale-invariant spectral methods. |
| fastkmeanspp | Fast C++-backed k-means++ initialisation for Python. Accelerates the seeding step with a BLAS routine for probabilistic distance-based scheme, with potential speedups of \(\times 10\) compared to scikit-learn. |