Contact details
patrick.rubin-delanchy@bristol.ac.uk
Office GA.13 (Virtual office zoom.us/j/5541546170)
Fry Building, School of Mathematics
University of Bristol
University Walk, Bristol, BS8 1TW
My research is about developing methods to discover hidden structure (e.g. clusters, trees, manifolds) in complex data (e.g. large dynamic networks, point processes, high-dimensional data).
Interests include: clustering, anomaly detection, manifold estimation, topological data analysis, dimension reduction, high-dimensional statistics, (graph) embedding, dynamic networks, spectral methods, bias/variance trade-offs, statistical/computational trade-offs, model selection, nonparametric statistics, exploratory data analysis, representation learning and machine learning.
Applications in biosciences, healthcare, (cyber-)security, societal resilience, environmental protection and more. For example, unfolded spectral embedding is used for anti-corruption.
Current and former post-docs and PhD students (group photo):
- Ian Gallagher
- Alex Modell
- Andy Jones
- Tjun Yee Hoh
- Annie Gray
- Ed Davis
- Hannah Sansford
News
Two papers at NeurIPS 2023; one selected for spotlight presentation:
- Annie Gray, Alexander Modell, PRD, Nick Whiteley. "Hierarchical clustering with dot products recovers hidden tree structure" (spotlight)
- Alexander Modell, Ian Gallagher, Emma Ceccherini, Nick Whiteley, PRD. "Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks" (Sep 2023)
I am associate editor for the Journal of the Royal Statistical Society, Series B (Statistical Methodology) (June 2023)
Our paper: Hannah Sansford, Alexander Modell, Nick Whiteley, PRD. "Implications of sparsity and high triangle density for graph representation learning"" was among the 32 selected for oral presentation at AISTATS 2023, of ~2000 submissions. (April 2023)
We have won an EPSRC Programme Grant on Network Stochastic Processes and Time Series (NeST), a multi-million pound award, between Imperial, Oxford, Bath, LSE, York and Bristol [press release].
This 6-year programme (2022-2028) will study large dynamic networks, with applications in medicine, transportation, cybersecurity, the environment, finance, biology and economics. (Nov 2022)
Research opportunities
Multiple PhD and postdoctoral research positions are to be opened for NeST. Please contact me if you want to discuss these or other NeST research/industrial collaboration opportunities.
More generally, I'm always happy to hear from students interested in doing research, e.g. a PhD. Fundamentally, you'll need to enjoy doing maths — everything else you can learn.