Samuel Davenport
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Samuel Davenport

Interests

  • Multiple Testing
  • Selective Inference
  • Resampling in large datasets
  • Random Field Theory
  • Neuroimaging Statistics

Education

  • PhD in Statistics, Oxford-Warwick Statistics Programme, 2016-2020

    Deparment of Statistics at the University of Oxford, UK

  • Masters in Mathematics (Part III) 2015-2016

    University of Cambridge, UK

  • Mathematics Tripos 2012-2015

    University of Cambridge, UK

About me

I am a Statistics Researcher working developing statistical methods with a particular focus on applications in Neuroimaging, Genetics and Large Language Models. For more details see my CV. If you're interested in collaborating or have a question about my work please feel free to email me (sdavenport(AT)health.ucsd.edu).

Research Interests

My research focuses on develping statistical methods for analysing large datasets with a particular emphasis on multiple testing via re-sampling based methods and parametric approaches (such as Random Field Theory). My work aims to develop these and other approaches in order to provide valid control of false positive rates (voxelwise FWER, False discovery proportion etc) and allow for better, more powerful inference.

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