Dr Anton Camacho PhD

Research Fellow


I am a mathematical modeller in epidemiology. My work involves the development and the analysis of mathematical models to investigate the mechanisms underlying the epidemiological dynamics of infectious diseases.

I am currently funded by an MRC Career Development Award in Biostatistics, and I am affiliated with the Centre for the Mathematical Modelling of Infectious Diseases at the London School.

I completed my PhD in Mathematical Biology in 2011, under the supervision of Bernard Cazelles and Amaury Lambert at the Eco-Evolutionary Mathematics lab in Paris. I contributed to the field of theoretical approaches to understand the epidemiology, immunolgy and evolution of influenza.

More broadly, I am interested in interdisciplinary research, at the edge of mathematics, biology and computer sciences, in order to address public-health issues.




I am taking part in the two Modelling courses run by the CMMID within the MSc Programmes offered by the School. I am also co-organizer of the Distance Learning Modelling module.


Currently, my research aims to improve our understanding of what governs the size and severity of seasonal influenza epidemics. This is a key public health priority for the design of effective intervention strategies, like vaccination.

From a statistical perspective, I am fitting mechanistic models to the many different and varied surveillance data available in the UK in order to draw synergistic inference on key epidemiological drivers. More precisely, I am using statistical algorithms that have recently been developed to perform inference on partially observed Markov processes.

Research areas

  • Modelling
  • Statistical methods


  • Bioinformatics
  • Mathematical modelling
  • Statistics

Disease and Health Conditions

  • Infectious disease
  • Influenza
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