Skip to main content Skip to navigation

David Helekal

I am a PhD student interested in statistical and probabilistic methods for infectious disease epidemiology.

My main interest lies in how bayesian modelling of non-homogenous populations can be achieved using phylodynamics and coalescent processes. Such models are of interest in infectious disease epidemiology as they can be used to characterise and study outbreaks, emergence of new variants, case imports, etc.

Before joining MathSys, I completed undergraduate studies in Mathematics at the University of Dundee.

Education:

  • 2015 - 2019 BSc. Mathematics 1st Class Honours, University of Dundee
  • 2019 - 2020 MSc. Mathematics Of Real World Systems, Distinction, University of Warwick
  • 2020 - PhD Candidate, University of Warwick

Workshops & Conferences:

  • LMS Undergraduate Research School 2018

Invited Talks:

  • 18/06/2021 University of Dundee Computational Biology External Seminar

Preprints:

Illustration of a clonal expansion model