Machine Learning for Personalized Medicine

A 2014 survey of researchers from 15 Russell Group universities (1) found that 92% of academics use research software and 69% said that their research would not be practical without it. The survey also found that 56% of researchers develop their own software and that 21% of these had never received any training in software development. Given this state of affairs, how can we be sure that the software we are using to conduct research gives correct results? This talk will explore some of the issues surrounding the use and development of research software.