Research
I am interested in Statistical computing and Statistical Methodology, in particular network data and applications to event streams on networks. I am also interested in developing statistical tools for analysing the fit of methods to complex data, such as tools for network data and network embedding algorithms.
Papers
- Community Detection Guarantees Using Embeddings Learned by Node2Vec
NeurIPS, 2024
[Arxiv] - Online Estimation and Community Detection of Network Point Processes for Event Streams
Statistics and Computing, 2023
[Journal Link] [Arxiv] - Scalable Community Detection in Massive Networks Using Aggregated Relational Data
Accepted, Statistica Sinica
[Early Journal View][Arxiv] - Markov-Modulated Hawkes Processes for Sporadic and Bursty Event Occurrences
Annals of Applied Statistics, 2022
[Journal Link] [Arxiv] - Network Hawkes Process Models for Exploring Latent Hierarchy in Social Animal Interactions
Journal of the Royal Statistical Society, Series C, Applied Statistics, 2022
[Journal Link] [Arxiv]
See associated code repo here - ppdiag: Diagnostic Tools for Temporal Point Processes
Journal of Open Source Software, 2021
[Journal Link, Open Access] - Next Waves in Veridical Network Embedding
Statistical Analysis and Data Mining, 2020
[Journal Link] [Arxiv]
Software
- ppdiag: Diagnostic tools for temporal point processes, available on CRAN.
Other Writing
- Does it pay to park in front of a fire hydrant?
Significance, 2023
[Link]