The Disease Dynamics research group at the Department of Applied Mathematics and Theoretical Physics...

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The Disease Dynamics research group at the Department of Applied Mathematics and Theoretical Physics (DAMTP) at the University of Cambridge is headed by Dr Julia Gog and specialises in the mathematics of infectious diseases. It is also a part of the Cambridge Infectious Diseases Consortium. The research team and the Motivate team are available by phone or email if further information or support is required. Abou t The Research Team

Transcript of The Disease Dynamics research group at the Department of Applied Mathematics and Theoretical Physics...

Page 1: The Disease Dynamics research group at the Department of Applied Mathematics and Theoretical Physics (DAMTP) at the University of Cambridge is headed by.

The Disease Dynamics research group at theDepartment of Applied Mathematics and

Theoretical Physics (DAMTP) at the University ofCambridge is headed by Dr Julia Gog and

specialises in the mathematics of infectiousdiseases. It is also a part of the Cambridge

Infectious Diseases Consortium. The research team and the Motivate team are

available by phone or email if further information or support is required.

About The Research Team

Page 2: The Disease Dynamics research group at the Department of Applied Mathematics and Theoretical Physics (DAMTP) at the University of Cambridge is headed by.

Dr Julia Gog is a lecturer in Applied Mathematics and Fellow of Queens' College at the University of Cambridge. She is also a Royal Society University Research Fellow. “I apply mathematics to help understand infectious disease. Mainly this is by developing and exploring dynamical models, but I also have some interest in bioinformatics. A particular theme running through my work is bridging across different scales (be they temporal, spatial or antigenic)...influenza has been a long-standing interest”.

Dr Ken Eames is a Lecturer at the London School of Hygiene and Tropical Medicine. “My research concerns the mathematical modelling and epidemiology of human infectious diseases spreading through social networks. Measuring these networks is hard - often, it's not even clear which interactions a network should include - so I develop methods that don't require the complete network to be known. I also work on innovative ways to measure networks, particularly those involving important population subgroups such as school children. Recently I have been running national surveillance systems to measure the impact of the swine flu pandemic, looking at health-care seeking behaviour and changes in social activity as a result of infection.”

Page 3: The Disease Dynamics research group at the Department of Applied Mathematics and Theoretical Physics (DAMTP) at the University of Cambridge is headed by.

Dr Andrew Conlan is a Research Associate with Cambridge Infectious Diseases Consortium whose research interests include the persistence of infectious disease and the link between transmission mechanisms and epidemiological data. He has an interest in Childhood Infectious Diseases, Campylobacter jejuni and Bovine Tuberculosis.

Dr Joshua Ross is a Junior Research Fellow (King's College) at the University of Cambridge. “I am a Mathematical Biologist specialising in stochastic (random/probabilistic) ecological and epidemiological modelling. I am particularly interested in the role of stochasticity in population and disease dynamics and control, and in developing methodology that allows the application of stochastic models to environmental and epidemiological decision making.”

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Johann von Kirchbach is a PhD student at the University of Cambridge. “My research is mainly about the influenza virus. In particular I try to use mathematical models in order go gain a better understanding of the way the virus works inside the human cell and the mechanisms by which it multiplies and spreads.”

Dr Roberto Saenz is a Research Associate at the University of Cambridge . His overall goal is to use mathematics as a tool to understand and solve problems related to infectious diseases. His current research is on mathematical models for the spread of the influenza virus within an infected host. The effect of innate immunity, adaptive immunity, spatial infection distribution, etc. are being evaluated as control mechanisms of infection.