James is Principal Research Data Scientist at the Turing, leading the data science side of the Group. He is interested in understanding how new ideas in machine learning can be applied to real-world challenges. He is especially keen to find ways to reduce the surprising amount of manual “data wrangling” that all projects seem to need.
James has a PhD in physics from Chicago. He has experience as a data scientist in industry and government, in building analytical models that are transparent and understandable, and teaching data science.