Aaron McDaid

The use of modularity for community finding is based on what I would call a minimum likelihood approach. The idea behind modularity involves creating a model that is as wrong as possible, called a null model, then find the parameters for which the fit between the data and the model is a bad as possible.

Thinking recently about the relative importance of various skills required by scientific researchers, I wondered if expert programming skills would become more important in future, rather than less so. The same question goes for expertise with statistics.

Within weeks, I'll be starting a PhD in UCD in Dublin. I'm delighted to be returning to university again. I'll be studying and researching for about 4 years as part of the Clique research project at UCD. I intend to blog everything about my research.