Download Dr Julia Gog - Motivate maths

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 the Cambridge
Infectious Diseases Consortium (CIDC) .
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 the Cambridge
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.
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 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.”
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 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.”