Doctor Ruth Pearson

Senior Analyst/Postdoc


Ruth joined the Burnet Institute in early 2016. She has a background in Physics and completed her PhD in Cosmology in April 2014. Her research has focussed on statistical and computational methods for data analysis and she is working in the Infectious Disease Modelling group using and developing the Optima tool across the areas of HIV, HCV and nutrition. Her interests include Bayesian Statistics and Machine Learning. Before joining the Burnet Institute Ruth worked as a consultant for government open data strategy, software development and data science.


  • 2016 - Burnet Institute, Senior Analyst/Postdoc
  • 2015 Code for Australia, Fellow
  • 2014 University of Melbourne Astrophysics Group, Postdoc
  • 2011 - 2013 Stanford University, Visiting Research Scholar
  • 2010 - 2014 University of Sussex, PhD student


  • PhD (2014), Department of Physics and Astronomy, University of Sussex
  • MSci (2010), Department of Physics, King’s College, University of London

Projects (4)

Current (3)

  • Optima decision science
    Research and applications across disease areas to improve allocative efficiency.
  • Optima Malaria
    Optima Malaria is a quantitative tool that assists with the allocation of budgets for malaria control programs.
  • Optima Nutrition
    A quantitative tool to assist with the allocation of intervention budgets to minimise stunting in children.

Past (1)

Publications (4)

2017 (1)

2014 (2)

2012 (1)