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 and Classification Guarantees Using Embeddings Learned by Node2Vec
    [Arxiv] (Submitted)
  • 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
    [Arxiv] (In Revision)
  • 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

Other Writing

  • Does it pay to park in front of a fire hydrant?
    Significance, 2023
    [Link]