Citizenship United States Fields Computer Science Role Computer scientist | Name Samuel Madden Nationality United States | |
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Born August 4, 1976 (age 47)
San Diego, California ( 1976-08-04 ) Institutions Massachusetts Institute of Technology Alma mater UC Berkeley (Ph.D.)
Massachusetts Institute of Technology (B.S., M. Eng.) Doctoral students Daniel J. Abadi, Evan P.C. Jones, Ryan R. Newton, Arvind Thiagarajan Known for TinyDB, C-Store,
TelegraphCQ,
H-Store Education University of California, Berkeley, Massachusetts Institute of Technology Doctoral advisor Michael J. Franklin, Joseph M. Hellerstein Similar People Joseph M Hellerstein, Michael Stonebraker, Stanley Zdonik | ||
Samuel R. Madden is a computer scientist specializing in database management systems. He is currently a professor of computer science at the Massachusetts Institute of Technology.
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Career
Madden was born and raised in San Diego, California. After completing bachelor's and master's degrees at MIT, he earned a Ph.D. specializing in database management at the University of California Berkeley under Michael Franklin and Joseph M. Hellerstein. Before joining MIT as a tenure-track professor, Madden held a post-doc position at Intel's Berkeley Research center.
Before enrolling at MIT and while an undergraduate student there, Madden wrote printer driver software for Palomar Software, a San Diego-area Macintosh software company. Professor Madden is also a co-founder of Vertica Systems. He has been involved in various database research projects, including TinyDB, TelegraphCQ, Aurora/Borealis, C-Store, and H-Store. In 2005, at the age of 29 he was named to the TR35 as one of the Top 35 Innovators Under 35 by MIT Technology Review magazine. Recent projects include DataHub - a "github for data" platform that provides hosted database storage, versioning, ingest, search, and visualization (commercialized as Instabase), CarTel - a distributed wireless platform that monitors traffic and on-board diagnostic conditions in order to generate road surface reports, and Relational Cloud - a project investigating research issues in building a database-as-a-service.