Scholar
Daniel John Lawson
Google Scholar ID: HZoPDecAAAAJ
University of Bristol
Citations & Impact
Citations
6,726
H-index
36
i10-index
53
Publications
20
Co-authors
6
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Research Experience
- Leading development of CLARITY methodology for comparing similarity matrices across domains (e.g., genes vs. language, culture vs. economics)
- Part of a university-wide team applying high-quality modeling to epidemic prediction, including bed capacity modeling in South-West England
- Leading undergraduate team exploring machine learning with Approximate Bayesian Computation for summary statistics
- Long-term research on Bayesian clustering in genetics; recently investigating connections between FineSTRUCTURE and Stochastic Block Models
- Collaborating with Prof Patrick Rubin-Delanchy on spectral methods for clustering-like tasks
- Collaborating with Prof Robert Allison on model-based approaches
Background
- Professor in Data Science at the Institute of Statistical Sciences, University of Bristol
- Co-Director of Compass – EPSRC Centre for Doctoral Training in Computational Statistics and Data Science
- Bristol and Methodology lead for the OCSEAN project studying Austronesian expansion using genes and language
- Research focuses on data science methodology around 'Data At Scale' and 'Modelling the process'
- Works on diverse applications including Genetics, Cyber Security, Social Science, and Epidemiology
- Associate editor for Royal Statistical Society Series C (Applied Statistics)
- Served as interim Director of the Jean Golding Institute for Data Science until May 2025
