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Pablo Rodriguez (computer scientist) : ウィキペディア英語版 | Pablo Rodriguez (computer scientist)
Pablo Rodriguez ((:ˈpaβlo roˈðɾiɣeθ); born 17 April 1972) is a Spanish computer scientist and researcher, who is best known for his research in the mid-2000s on peer-to-peer file sharing and user-generated content. After working for technology and communications companies AT&T and Microsoft Research, Rodriguez returned to Spain in 2006 to become the research director for telecommunications provider Telefónica. In 2010 took a position as an adjunct professor at Columbia University in New York. Rodriguez has been a frequent guest speaker at technology conferences in Europe, such as the International World Wide Web Conference, TEDx Barcelona and the Wired Conference in London. He has collaborated with chef Ferran Adrià of the restaurant elBulli to develop Bullipedia, and in 2014 with football team FC Barcelona to analyze their strategies. ==Early life and education==
Rodriguez was born in Oviedo, in the Asturias region of Spain. After studying for his Bachelor and Master of Science in Telecommunications Engineering at the Universidad Pública de Navarra (1990–1995), Rodriguez continued his Master's in computational physics at King's College London, studying electro-optical sensors and collaborating on the research paper ''Advances in high-resolution distributed sensing using a time-resolved photon counting technique''. Travelling to Switzerland and France, Rodriguez studied communication systems at a postgraduate level, and gained a PhD in Computer Science in 2000 from the École Polytechnique Fédérale de Lausanne.〔 During his doctorate studies, Rodriguez worked as an intern at AT&T Labs in New Jersey, and researched scalability at the Institut Eurécom.〔 At AT&T, Rodriguez filed his first patents, TCP transparent proxies. His dissertation in 2002, ''Scalable content distribution in the Internet'', focused on scaling existing Internet architecture to perform content distribution to millions of users. As part of his doctorate, he designed parallel download algorithms to improve download times and resilience in peer-to-peer file swarming systems.
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