Harold Matthews PhD

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I am a bioinformatician and data scientist with a specialty in multivariate statistics, including the statistical analysis of shapes from medical images. I completed my PhD at the Murdoch Children’s Research Institute in Melbourne Australia and was for four years a postdoctoral researcher at the Laboratory for Imaging Genetics at KU Leuven, Belgium.

During my PhD I became fascinated by the ability of multivariate statistics to unveil complex patterns in data and have since sought to expand the toolkits available to clinicians and researchers: I developed and maintain the ‘python_shape_stats’ toolbox for the statistical analysis of dense surface meshes and the ‘3DGrowthCurves’ toolbox for the assessment of facial abnormality from 3D facial photographs. I have authored and co-authored over 40 research publications in diverse fields from medicine to data science to anthropology.

selected publications

  1. static_and_motion.jpg
    Static and motion facial analysis for craniofacial assessment and diagnosing diseases
    Harold Matthews, Guido Jong, Thomas Maal, and 1 more author
    Annual Review of Biomedical Data Science, 2022
  2. RASopathy_distance.png
    Refining nosology by modelling variation among facial phenotypes: the RASopathies
    Harold Matthews, Michiel Vanneste, Kaitlin Katsura, and 8 more authors
    Journal of Medical Genetics, 2023
  3. growth_curves.png
    Large-scale open-source three-dimensional growth curves for clinical facial assessment and objective description of facial dysmorphism
    Harold S Matthews, Richard L Palmer, Gareth S Baynam, and 8 more authors
    Scientific reports, 2021
  4. pitfalls_and_promise.png
    Pitfalls and promise of 3-dimensional image comparison for craniofacial surgical assessment
    Harold S Matthews, Jonathan A Burge, Pieter-Jan R Verhelst, and 3 more authors
    Plastic and Reconstructive Surgery Global Open, 2020
  5. Precise modulation of transcription factor levels identifies features underlying dosage sensitivity
    Sahin Naqvi, Seungsoo Kim, Hanne Hoskens, and 8 more authors
    Nature Genetics, 2023