Holding a BSc in Philosophy, Politics, and Economics (PPE) from the University of Warwick and an MPhil in Economics from the University of Cambridge, he has always been passionate about the intersection between cutting-edge quantitative methods and advancing social science research. In his Master’s dissertation he took a non-linear fat-tailed modelling approach to tackle questions in the carry trade and Peso problem.
Chris transferred his DPhil in 2019.
Fake news, computational propaganda, social data science, computational social science, machine learning, political polarisation in social media, echo chambers, opinion formation and dynamics
This project aims to reveal the determinants of success in entrepreneurship, startups and innovation ecosystems using data science and qualitative research methods.
17 October 2023
New research shows start-up founders have distinct personality traits which are more important to the success of their companies than previously thought.
23 October 2020
