Josh Simons is a PhD candidate in the Government Department. His research explores the politics and ethics of machine learning. In the context of social inequality encoded in vast data sets, machine learning requires choices to be made, from which some win and some lose, and which shape the distribution of power over time. The dissertation explores what follows from recognizing the political character of machine learning. It uses machine learning to explore familiar problems in politics, about discrimination and fairness, justice and justification, and even the scope of politics. Josh is also working on projects with Danielle Allen on ‘Political Economy and Justice’ at the Edmond J. Safra Center for Ethics and with the Centre for Internet and Society in India, exploring how data is used to target welfare to citizens in India. Josh formerly worked as a Policy Advisor for the Labour Party in the British Parliament and graduated with a starred first in Politics from Cambridge University.