One of the big challenges for biomathematicians is the design of models which can capture the wide range of evolutionary processes and yet be computationally and statistically tractable.

I will discuss recent progress in this area, with a particular focus on methods we have developed for evolutionary analysis of multi-species genomic data.

We have taken classical methods from `steam engine' applied mathematics and are in the process of mutating them into a flexible and efficient framework for model-based inference in evolutionary biology.

A TIC (Techniques In Computational Genomics) Seminar