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 organizations such as Lawrence Livermore National Laboratory, Bain and Company, the United Nations, the World Bank, and the Canadian Parliament.

Programas y seminarios destacados

  • Campus de Alta Capacidad

    Fecha de inicio: 07/07/2024

    Una iniciativa que tiene como objetivo principal desarrollar al máximo el potencial de jóvenes de edades comprendidas entre los 10 y los 18 años acreditados como «de alta capacidad».

  • Workshop From Science to Society

    Fecha de inicio: 22/09/2024

    La Fundación Rafael del Pino junto con al Club de Científicos (Becarios de Excelencia Rafael del Pino) organizan el FS2S: Translating today’s research into tomorrow’s solutions

  • Programa A History of the World. Jeremy Adelman

    Fecha de inicio: 20/09/2024

    Este curso, dirigido a jóvenes entre 17 y 25 años, invita a conocer y profundizar en la historia del mundo para entender cómo estamos conectados en el mundo globalizado en el que vivimos.

  • Programa Ética de la Inteligencia Artificial. Carissa Véliz

    Fecha de inicio: 28/10/2024

    Este curso nos ayudará a comprender la "realidad digital" que vivimos. Un enfoque práctico y constructivo, ofreciendo posibles soluciones a los desafíos éticos generados por la IA.