Lisa defended her PhD

Last week, Dr. Lisa Chabrier successfully defended her PhD work on calculating SHAP values and using them to do differential network analysis. Whilst SHAP values are a popular framework for local explanations of machine learning predictions, they come with a serious computational cost. Lisa developed an approximation algorithm to avoid calculating lots of SHAP values … [Read more…]

What do we learn from evolutionary simulations?

Digital experiments of how the process of evolution works—also known as in silico (experimental) evolution or simply evolutionary simulations—have been explored and studied since the early days of computing. Nowadays, while using the computer to simulate evolution is a well-accepted approach, not everyone is clear about what it teaches us. As I use such simulations … [Read more…]