Evolution: Theoretical and Computational Biology

Biology and life science in general constitute fascinating fields of investigations. Complex systems tools and statistical mechanics paradigms can prove crucial in interpreting the nowadays available, large gallery of experimental data, within mathematical models that are solidly justified from first principles. The challenge is to bridge the gap between microscopic and macroscopic descriptive realms, moving from the individual based representation and obtaining quantitative predictions for the collective dynamics. Mean field as well as stochastic models are developed and then tackled via analytical and numerical means.