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Laura M Haas

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Nationality  American
Doctoral advisor  K. Mani Chandy
Fields  Computer Science

Name  Laura Haas
Institutions  IBM Research
Institution  IBM Research
Laura M. Haas Longtime IBM Researcher Laura M Haas Named Dean of the College of

Known for  Database systems and Information integration
Alma mater  University of Texas at Austin, Harvard University
Notable awards  Association for Computing Machinery, National Academy of Engineering, IBM Fellow

Laura M. Haas is an American computer scientist noted for her research in database systems and information integration. She is best known for creating systems and tools for the integration of heterogeneous data from diverse sources, including federated technology that virtualizes access to data, and mapping technology that enables non-programmers to specify how data should be integrated.


Laura Haas’s work dramatically changed the research and practice of information integration. She led the Starburst project on extensible database systems, showing how diverse information could be integrated into a relational database. Her research was the foundation for IBM's DB2 LUW query processor. She was the overall architect for Garlic, a novel data federation system that provides integrated access to many data sources from a high-level nonprocedural language, and personally invented and implemented query optimization techniques that allowed Garlic to process queries efficiently, exploiting the capabilities of the underlying data sources. Haas led the development of IBM InfoSphere Federation Server based on this technology, and was the technical lead of the IBM team which helped establish the enterprise information integration market. Laura also led the Clio project, inventing the concept and basic algorithms for schema mapping, and embodying them in the first tool to compute necessary transformations to bring data from diverse sources into a common format automatically. She continues to provide thought leadership and to pursue new research around information integration, most recently in the context of Big Data, through her role as the Director of IBM Research’s Accelerated Discovery Lab.


Laura Myers Haas received a A.B. in Applied Mathematics and Computer Science from Harvard University in 1978. She received a Ph.D in Computer Science from the University of Texas at Austin in 1981. In 1981, Haas began as a research staff member at IBM Almaden Research Center, and has spent her career at IBM Research (with a one-year visiting fellow position at University of Wisconsin in 1992-1993). She has held numerous positions within IBM Research, currently serving as IBM Fellow and Director of IBM Research Accelerated Discovery Lab.


In 2006, Haas was named an ACM Fellow "for research leadership, and contributions to federated database systems".

In 2010, she was elected to the National Academy of Engineering "for innovations in the design and implementation of systems for information integration".

In 2010, Haas received the ABIE Technical Leadership Award at the Grace Hopper Celebration of Women in Computing.

In 2015 she became the winner of the SIGMOD Edgar F. Codd Innovations Award.


Laura M. Haas Wikipedia

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