The Disease Dynamics research group in the Department of Applied Mathematics and

1. About The Research Team The Disease Dynamics research group in the Department of Applied Mathematics and Theoretical Physics (DAMTP) in 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 theCambridge Infectious Diseases Consortium (CIDC) .

2. About The Research Team 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 theCambridge Infectious Diseases Consortium (CIDC) . The research team and the Motivate team will always be available by phone or email if information or support is required.

3. Dr Julia Gog is a lecturer in Applied Mathematics and Fellow of Queens' Collegeat the University of Cambridge. She is also a Royal Society University Research Fellow. “I apply mathematics to help understand of 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 Andrew Conlon is a Research Associate at DAMTP. His research interests include: Understanding the persistence of infectious disease, from the individual to the population. Exploring the link between transmission mechanisms and epidemiological data. Study systems: Childhood Infectious Diseases, Campylobacter jejuni in Broilers and Bovine Tuberculosis. Dr Ken Eames is a Research Associate at DAMTP. “My research concerns the mathematical modelling and epidemiology of human infectious diseases. I'm particularly interested in those that can be considered to spread through networks of interactions: these mixing networks include all interactions that can facilitate disease spread. Measuring mixing networks is far from simple - often, it's not even clear which interactions a network should include - so I'm attempting to develop methods to model the spread of infection through networks that don't require the complete network to be known. I'm also involved with trying to come up with innovative ways to measure networks, particularly those involving epidemiologically important population subgroups such as school children.”

4. 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.” 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. Johann von Kirchbachis 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.”