# Laura M. Haas

> American computer scientist

**Wikidata**: [Q20090843](https://www.wikidata.org/wiki/Q20090843)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Laura_M._Haas)  
**Source**: https://4ort.xyz/entity/laura-m-haas

## Summary
Laura M. Haas is an American computer scientist renowned for her research leadership and contributions to federated database systems. With a distinguished career spanning IBM Research (1981-2017) and the University of Massachusetts Amherst (2017-present), she has been recognized with numerous prestigious awards including ACM Fellow and IBM Fellow distinctions.

## Biography
- Born: 1956 (exact date and place not provided)
- Nationality: United States
- Education: Ph.D. in Computer Science from University of Texas at Austin; education also at Harvard University
- Known for: Contributions to federated database systems
- Employer(s): IBM (1981-2017), University of Massachusetts Amherst (2017-present)
- Field(s): Computer science

## Contributions
Laura M. Haas has made pioneering contributions to database systems research, particularly in the area of federated database systems. Her work at IBM Research from 1981 to 2017 led to significant advancements in database technology and integration systems. In recognition of her research leadership and technical contributions, she was named an ACM Fellow in 2006, IBM Fellow in 2009, and received the prestigious SIGMOD Edgar F. Codd Innovations Award in 2015 for her work on database systems. Her contributions have had a lasting impact on how data is integrated and managed across heterogeneous systems, earning her the Computer Pioneer Award in 2019.

## FAQs
### Q: What awards has Laura M. Haas received?
A: Laura M. Haas has received numerous prestigious awards including the ACM Fellow (2007), IBM Fellow (2009), SIGMOD Edgar F. Codd Innovations Award (2015), Computer Pioneer Award (2019), and Anita Borg Institute Women of Vision Awards (2010).

### Q: Where did Laura M. Haas work before joining University of Massachusetts Amherst?
A: Before joining the University of Massachusetts Amherst in 2017, Laura M. Haas worked at IBM Research for 36 years (1981-2017), where she rose to become an IBM Fellow.

### Q: What is Laura M. Haas known for in the field of computer science?
A: Laura M. Haas is known for her research leadership and contributions to federated database systems, which enable data integration across heterogeneous databases. Her work has fundamentally changed how databases interact and share information.

## Why They Matter
Laura M. Haas's research on federated database systems has fundamentally transformed how organizations manage and integrate data across disparate systems. Her work at IBM Research for 36 years resulted in technologies that enabled seamless data exchange between incompatible databases, becoming foundational to modern data management practices. As an ACM Fellow and IBM Fellow, she has set standards for technical excellence and leadership in computer science, particularly for women in the field. The Computer Pioneer Award she received in 2019 recognizes her as one of the individuals whose early work has shaped the entire computing industry. Her transition to academia at the University of Massachusetts Amherst represents a continued commitment to advancing database research and mentoring the next generation of computer scientists.

## Notable For
- First woman to be named an IBM Fellow for technical achievements (2009)
- Received SIGMOD Edgar F. Codd Innovations Award for fundamental contributions to database systems (2015)
- Named Computer Pioneer Award by IEEE Computer Society (2019)
- Recognized by Anita Borg Institute as one of the Women of Vision (2010)
- One of only a small number of individuals to receive both ACM Fellow and IBM Fellow distinctions

## Body
### Early Life and Education
Laura M. Haas was born in 1956 in the United States. She attended Harvard University and later earned her Doctor of Philosophy (Ph.D.) in Computer Science from the University of Texas at Austin, where her doctoral advisor was Kanianthra Mani Chandy.

### Career at IBM
Haas joined IBM Research in 1981 and spent 36 years with the company before leaving in 2017. During her tenure at IBM, she rose through the ranks and was named an IBM Fellow in 2009, becoming the first woman to receive this distinction for technical achievements. Her research at IBM focused on database systems, particularly federated database systems.

### Academic Career
In 2017, Haas joined the University of Massachusetts Amherst, where she has continued her research in database systems and assumed a faculty role. Her work at the university focuses on advancing database technology and mentoring students in computer science.

### Research Contributions
Haas's research has centered on database systems, with a specific focus on federated database systems that enable data integration across heterogeneous databases. Her work has had a lasting impact on how organizations manage and integrate data across disparate systems.

### Recognition and Awards
Throughout her career, Haas has received numerous awards recognizing her contributions to computer science:
- ACM Fellow (2007) for research leadership and contributions to federated database systems
- IBM Fellow (2009) for technical achievements
- Anita Borg Institute Women of Vision Awards (2010)
- SIGMOD Edgar F. Codd Innovations Award (2015) for fundamental contributions to database systems
- Computer Pioneer Award (2019) by IEEE Computer Society

### Professional Affiliations
Haas is a member of the American Academy of Arts and Sciences and has been actively involved with the Association for Computing Machinery (ACM), where she was named a Fellow in 2007.

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## References

1. [Source](https://www.umass.edu/newsoffice/article/longtime-ibm-researcher-laura-m-haas-named)
2. [Source](https://www.computer.org/profiles/laura-haas)
3. [Source](https://anitab.org/profiles/abie-award-winners/laura-haas/)
4. [Source](https://www.acm.org/media-center/2007/january/acm-names-41-fellows-for-contributions-to-computing-and-it)
5. [Source](https://www.ibm.com/ibm/ideasfromibm/us/ibm_fellows/)
6. IdRef