On this page





Ewing Building


I graduated with a Bsc. In Mathematics from King’s College London in 2014, also completing the Associate of King’s College award in philosophy and theology. After this, I joined the University of Cambridge with a PhD scholarship from the Wellcome Trust in Mathematical Genomics and Medicine, which I completed at the Medical Research Council Biostatistics Unit in 2019. During my doctorate, I undertook an internship with the Winton Centre for Risk and Evidence Communication looking at creating patient-friendly genetic test reports with the National Health Service. I have published articles for popular mathematics communication as part of the Millennium Mathematics Project and was a contributing author to the book 30-Second Numbers. I am now the Harding Fellow here at LRCFS concerned with statistical communication in Forensic Science, in collaboration with the Winton Centre for Risk and Evidence Communication at Cambridge University and the Alan Alda Center for Communicating Science at Stony Brook University.


Evidence from Forensic Science can play an important part in both criminal and civil court cases. Statistics and probability can be used as powerful tools to help juries and judges assess the weight of forensic evidence and quantify how certain we are about the results of scientific experiments in order to help them reach a verdict. However, the scientific basis for some forensic evidence types is still relatively new or is currently being established, making standardised statistical analyses a work in progress. In addition, lawyers and judges need to be trained in order to examine the results of forensic investigations as well as their statistical conclusions and, when necessary, relay them to a jury. These challenges will be amplified in the future as the science advances and analysis pipelines become more complicated, e.g. using machine learning to compare fingerprints.

My research involves working with judges, barristers, forensic scientists, and members of the public in order to understand how they interpret and use statistical information. Using this, we can create learning resources and methods of communicating statistics that are tailored to the needs of each group and thereby improve statistical literacy from crime scene to courtroom.

Research interests

  • Communication of statistics
  • Statistical education
  • Statistical modelling of forensic evidence
  • Statistical and probabilistic reasoning in Forensic Science
  • Data visualisation
  • Reproducible research
View full research profile and publications