معرفی
Nick Heard is a Professor and Chair in Statistics at the Department of Mathematics, Faculty of Natural Sciences, Imperial College London. His research focuses on computational Bayesian inference, clustering, and changepoint analysis applied to dynamic networks (e.g., computer networks, social networks) and bioinformatics. He leads the EPSRC-funded NeST project on Network Stochastic Processes and Time Series, collaborating with universities including Bristol, Oxford, and LSE. His work bridges statistical theory with applied problems in cyber-security and neuroscience.
Research Interests
- Modelling large dynamic networks
- Changepoint analysis and anomaly detection
- Statistical methods for cyber-security
- Bayesian computation and inference
- Spectral clustering and graph embeddings
Grants & Collaborations
- Co-leads the NeST project on Dynamic graph embeddings: procedures and inference
- EPSRC Programme Grant (EP/T004870/1) supporting Network Stochastic Processes and Time Series research
Software & Tools
- Developed open-source packages for Bayesian changepoint analysis (e.g., changepoints)
- Code for p-value combination methods (standardised_partial_product)
