Neil is the Director of the FutureTech research project at MIT's Computer Science and Artificial Intelligence Lab and a Principal Investigator at MIT's Initiative on the Digital Economy. Previously, he was an Assistant Professor of Innovation and Strategy at the MIT Sloan School of Management, where he co-directed the Experimental Innovation Lab (X-Lab), and a Visiting Professor at the Laboratory for Innovation Science at Harvard. He has advised businesses and government on the future of Moore's Law, has been on National Academies panels on transformational technologies and scientific reliability, and is part of the Council on Competitiveness' National Commission on Innovation & Competitiveness Frontiers. He has a PhD in Business and Public Policy from Berkeley, where he also did Masters degrees in Computer Science and Statistics. He also has a masters in Economics from the London School of Economics, and undergraduate degrees in Physics and International Development. Prior to academia, He worked at organisations such as Lawrence Livermore National Laboratory, Bain and Company, the United Nations, the World Bank, and the Canadian Parliament.

Featured programmes and seminars

  • High Capacity Campus

    Start date: 07/07/2024

    The main objective of this initiative is to develop the potential of young people between the ages of 10 and 18 who have been accredited as "high ability".

  • Workshop From Science to Society

    Start date: 22/09/2024

    The Rafael del Pino Foundation together with the Club de Científicos (Rafael del Pino Excellence Fellows) organise the FS2S: Translating today's research into tomorrow's solutions.

  • A History of the World programme. Jeremy Adelman

    Start date: 20/09/2024

    This course, aimed at young people aged between 17 and 25, invites them to learn about and delve into world history in order to understand how we are connected in the globalised world in which we live.

  • Artificial Intelligence Ethics Programme. Carissa Véliz

    Start date: 28/10/2024

    This course will help us understand the "digital reality" we live in. A practical and constructive approach, offering possible solutions to the ethical challenges generated by AI.