My career has been motivated by a singular and genuine curiosity into what it means to learn from evidence, and in particular from evidence arising from measurements, i.e., data. I have been fortunate enough to both study but also teach at a number of great institutions, including the University of Cambridge where I was a Fellow, and Imperial College London where I still retain an honorary Associate Professorship. I have applied data science in a number of fields ranging from cybersecurity to neuroimaging, both as an academic but also as a startup founder. In a constant search of the most innovative environment I could find, I am now at Improbable, a London-based company building virtual worlds of unprecedented scale for games and real-world planning. I love programming and am the author of a Python project with over 600 GitHub stars and an R package of with many thousands of downloads.