Group of Clinical Genomic Networks

Department of Molecular Systems Biology -CAS-MPG Partner Institute for Computational Biology

 

 

 

Jennifer Dent, Research Fellow

Science & Technology Fellowship Programme China

Field of Research: Mathematical Biology

Casella di testo:  I would consider myself a mathematical biologist who studies disease networks. Currently on secondment from Veterinary Laboratories Agency (VLA), UK, where I used differential equation models, simulations, network analysis and statistics in order to model the dynamics of animal diseases (specifically avian influenza, salmonella and BSE), I am now working in the Group of Clinical Genomic Networks, in the field of computational biology. Here, I am heavily involved in rheumatoid arthritis (RA) research. The driving force behind my research is to understand the molecular mechanisms involved in RA in order to be able to understand and compare the effects of acupuncture with those of conventional medicines, in the treatment of the disease. In this direction, I have been working on the reconstruction and the analysis of networks of genes and proteins known to be involved in RA. Through network analysis methods, we can improve our understanding of the complexity of the disease, identifying the most important molecules and the effect of perturbing these molecules in silico. I am also interested in determining how to build and analyse such networks from a dynamic perspective.

In addition, since July 2007 and with a break to study Chinese (Mandarin) in 2009, I have also been studying for a PhD degree in mathematical biology. The focus of my thesis is the use of mathematical models (network analysis approaches in particular) to investigate disease contact structures at the cell and the population level.

Along side the academic aspect of my role, I enjoy playing an active part in guiding students in the workgroup, encouraging them to think creatively and to use their initiative to become better scientists. Outside of work, I enjoying cooking and baking, as well as exercising to burn off all those extra calories.