Senior Advisor to the Provost for Computation and Data Science
Michael J. Franklin is the inaugural holder of the Liew Family Chair of Computer Science. An authority on databases, data analytics, data management and distributed systems, he also serves as senior advisor to the provost on computation and data science. Franklin leads campus initiatives to dramatically expand the Computer Science Department and to establish the University of Chicago as a leading center for Data Science education and research. He also served as the founding faculty director for the Center for Data and Computing and currently serves on its faculty steering committee.
Prior to Chicago, Franklin was at the University of California, Berkeley, where he was Thomas M. Siebel Professor of Computer Science and served a term as chair of the Computer Science Division of the Department of Electrical Engineering and Computer Sciences. He was co-director of Berkeley’s Algorithms, Machines and People Laboratory (AMPLab), a leading academic big data analytics research center and was Principal Investigator of the lab’s National Science Foundation CISE "Expeditions in Computing" award. AMPLab garnered support from over 30 leading technology companies and created industry-changing open source Big Data software including Apache Spark and BDAS, the Berkeley Data Analytics Stack. At Berkeley, he also served as an executive committee member for the Berkeley Institute for Data Science, a campus-wide initiative to advance data science environments.
In addition to his academic work, Franklin founded and became chief technology officer of Truviso, a data analytics company acquired by Cisco Systems. He currently serves on the technical advisory boards of various data-driven technology companies and organizations, including AMPLab spin-outs Databricks, Alluxio, and Determined.ai.
Franklin is a member of the National Science Foundation’s CISE Advisory Committee and is a Board Member of the Computing Research Association. He is a Fellow of the Association for Computing Machinery and a two-time recipient of the ACM SIGMOD (Special Interest Group on Management of Data) “Test of Time” award. His many other honors include the outstanding advisor award from Berkeley’s Computer Science Graduate Student Association. He received the Ph.D. in Computer Science from the University of Wisconsin in 1993, a Master of Software Engineering from the Wang Institute of Graduate Studies in 1986, and the B.S. in Computer and Information Science from the University of Massachusetts in 1983.