Fred Hallgren is a PhD candidate in machine learning at University College London (UCL). His interest for technical teaching was sparked as a teaching assistant in mathematics while an undergraduate and during his PhD he has taught extensively in statistics and statistical programming to undergraduate and masters students. His research at UCL has focused on kernel methods, neural networks and dimensionality reduction. Prior to his PhD he worked at a quantitative hedge fund, researching trading models and developing software infrastructure in Python and C++. Originally from Sweden, he has lived in the UK for several years, but goes back often for skiing and “fika”.