Luis Perez-Breva, PhD (http://linkedin.com/in/lpbreva) is an innovator, entrepreneur, educator and the author of Innovating: A Doer’s Manifesto (http://amzn.com/0262035359 The MIT Press, 2017). He is an expert in technology innovation, venture labs, taking deep tech to impact, and applying artificial intelligence to solve real-world problems. As a serial innovator and entrepreneur Dr. Perez-Breva is drawn to “impossible” projects in which he gets to apply artificial intelligence to address problems that matter. He has enjoyed success with inventions and new companies in cell phone location, security, telecom, an automated investment fund, finance, and genetics to name some. Chiefly among them is the AI-based system to locate 911 calls in case of emergency currently deployed in over 120 networks worldwide. He has also helped develop several non-profit organizations, including a new model of university centered on innovation.
Currently, Luis is based in the MIT School of Engineering and is Faculty Director of Innovation Teams (iTeams http://iteams.mit.edu), its flagship joint enterprise with MIT Sloan to put the Institute’s deep tech advances to work to solve real-world problems. Luis’s work and teaching on innovation is a natural extension of his approach to solve problems with AI. Through iTeams, he has helped nearly 200 MIT technologies find a path to impact leading to the formation of some 40 new, enduring deep tech companies across all industries from mining to telecommunications. Luis has taught innovating as a skill worldwide in academia and industry to professionals and students from all discipline and has further adapted the process to build true innovating factories in venture capital and in corporations.
Luis’ work on Innovation and on AI has been featured by the Wall Street Journal, Bloomberg News, BBC, Wharton Business Radio, Entrepreneur, Zdnet, Quartz and several other national and international media. Currently, Luis is developing a technology repurposing fund to rescue, recycle, and, in essence, turn around technologies analogous to how private equity seeks to turn around companies.
Dr. Perez-Breva holds a PhD in artificial intelligence from MIT and degrees in chemical engineering, physics, and business from leading universities in Spain (Institut Quimic de Sarrià), France (Ecole Normale Supérieure), and the United States (MIT). In 2011, the Spanish government recognized his career achievements by awarding him the Order of Civil Merit of the Kingdom of Spain.
Featured media coverage and contributed pieces
- Big Think “Is AI a species-level threat to humanity? Elon Musk, Steven Pinker, Michio Kaku, Max Tegmark, Luis Perez-Breva, Joscha Bach and Sophia the Robot herself” (June 2020)
- Forbes, “This AI Researcher Thinks We Have It All Wrong”, (February 23, 2020)
- Quartz “The Lean Startup is an unproductive Legend” (August 2018)
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- https://qz.com/work/1349238/the-lean-startup-is-an-unproductive-legend/
- Bloomberg's Master in Business Podcast with Barry Ritholtz (March 4th, 2018)
- https://podcasts.apple.com/us/podcast/luis-perez-breva-explains-how-to-be-productively-wrong/id730188152?i=1000404249239
- Bloomberg Technology Live TV interview with Emily Chang and Selina Wang (January 30th, 2018) https://www.bloomberg.com/news/videos/2018-01-31/mit-s-perez-breva-says-people-confuse-ai-with-automation-video
- Linkedin, “For the new year, resolve to outsmart robots” (December 2017)
- Diario el Mundo December 2017 (Madrid, Spain): “Los cuatro fantasticos del MIT”
- ZDNet, “Don’t be alarmed, but you’re ‘re probably using the term AI wrong” (November 15, 2017): http://www.zdnet.com/article/dont-be-alarmed-but-youre-probably-using-the-term-ai-wrong/
- The Politics Guys Podcast, “MIT Professor Luis Perez-Breva on Innovation,” interview (October 25, 2017): http://politicsguys.com/mit-professor-luis-perez-breva-on-innovation
- Wall Street Journal MarketWatch, “What investors–and everyone else–get wrong about innovation,” (Oct. 3, 2017):
- BBC World Service, In the Balance, “Artificial Intelligence – Friend or Foe?” interview (September 24, 2017): http://www.bbc.co.uk/programmes/w3cstyd7
- The Future of Work Podcast, “Artificial Intelligence: Debunking Myth from Reality,” interview (September 4, 2017): https://thefutureorganization.com/artificial-intelligence-debunking-myth-reality/
- Business Insider, “5 things everyone gets wrong about artificial intelligence and what it means for our future,” opinion piece (July 31, 2017): http://www.businessinsider.com/artificial-intelligence-and-jobs-myths-2017-7
- MIT Technology Review, “You’re Probably Wrong,” book review (Jun 27, 2017): https://www.technologyreview.com/s/607996/youre-probably-wrong/
- MIT Sloan News, “Many Wrongs Make It Right: Being “Productively Wrong: Can Help Fortify Success,” book review, (May 10, 2017): http://mitsloan.mit.edu/newsroom/articles/many-wrongs-make-it-right/
- Diario Financiero (Chile) Cover story (March 2017)
