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An Interdisciplinary Research Centre at the University of Cambridge
Read more at: Joel Kandiah

Joel Kandiah

My research is on epidemic transmission models for nowcasting and forecasting national infectious disease outbreaks. Primarily my current work is on extending SARS-CoV-2 real-time transmission models used between 2020-2023 to prepare for how best to use epidemic models in future outbreaks.

Read more at: Joshua Blake

Joshua Blake

What I do:

I use epidemiological and statistical modelling to draw unbiased insights on the pandemic from the ONS Coronavirus Infection Survey.
My thesis focuses on estimating incidence in the population from this dataset. My current and largest project is to estimate the duration of PCR positivity because this parameter is extremely important to the overall goal.

Read more at: Constantin Schmidt

Constantin Schmidt

Constantin is a first-year PhD student working with Daniela De Angelis and Pantelis Samartsidis. He is interested in infectious disease research, especially in resource-constrained settings. In his thesis,

Read more at: Dr David Pascall

Dr David Pascall

What I do:

I combine evolutionary methods and statistics to answer epidemiological questions.

Research Interests:

  1. Design and application of statistical models integrating genetic data to answer epidemiological questions
  2. Pathogen phylogenetics
  3. Viral diversity and community ecology

Read more at: Dr Tommy Nyberg

Dr Tommy Nyberg

What I do:

I am a postdoctoral researcher and biostatistician who works on applied statistics in the field of infectious disease epidemiology. My research involves estimation of the risk of COVID-19 severity outcomes such as hospitalisation and death, using Bayesian evidence synthesis and related methods.

Key Projects: