Investigating the role of local adaptation in human evolution. This project aims to investigate what kinds of genetic signatures would be left by different forms of selections, using a realistic model of past human demography as a study system. The project will use a recently developed simulation framework that reconstructs the expansion of anatomically modern humans out of Africa over the last 100k years, accounting for the effect that climate might have had on local demographies through space and time. The framework tracks colonisation and migrations, allowing us to model the spread of new mutations and the relative importance of drift and selection, especially when the latter is driven by climatic factors. By simulating different forms of selection of varying strengths, the project will explore how clear a signal is left in the genetic makeup of populations across the world, and what metrics best allow us to detect such signals. We will then explore real datasets, taking advantage of the large amount of data developed by Next Generation Sequencing technologies.