Deborah Agarwal

Deborah Agarwal is a data scientist at Lawrence Berkeley National Laboratory who is known for her work in making data more accessible. She was elected a fellow of the American Geophysical Union in 2024.

Education and career

Agarwal received her B.S. from Purdue University in 1985. She moved to the University of California, Santa Barbara where she received an M.S. in 1991. In 1992, Agarwal was an intern at Lawrence Berkeley National Laboratory and she returned in 1994. In 1994 she earned her Ph.D. from the University of California, Santa Barbara and went on to hold jobs at General Motors and the Berkeley Water Center. In 2005 she moved to Lawrence Berkelely National Laboratory.[1] She was director of the Scientific Data Division at Lawrence Berkeley National Laboratory from2005 until 2023,[2] at which point she retired from the lab.[3]

Research

Agarwal is known for her work using data science to answer big scientific questions. She led the development of the ESS-DIVE project that established a means to store data in packages thereby allowing for a flexible means to store data, the project would later become a part of DataONE.[4] As part of her work, Agarwal shared her perspective as a woman in data science when she acknowldged the stereotypes that may prevent women from considering careers in computer science.[5]

Awards and honors

In 2000, Agarwal was honored by San Francisco Women on the Web as one of the 'top 25 women on the web'.[6][7] In 2023 she received an Honoris causa from the University of Rennes 1 for her work on scientific computing.[8] In 2024, the American Geophysical Union elected Agarwal as a fellow.[2]

Selected publications

  • Amir, Y.; Moser, L. E.; Melliar-Smith, P. M.; Agarwal, D. A.; Ciarfella, P. (1995). "The Totem single-ring ordering and membership protocol". ACM Transactions on Computer Systems. 13 (4): 311–342. doi:10.1145/210223.210224. ISSN 0734-2071. Retrieved 2026-08-22.
  • Agarwal, D.A.; Chevassut, O.; Thompson, M.R.; Tsudik, G. (2001). An integrated solution for secure group communication in wide-area networks. IEEE Comput. Soc. doi:10.1109/ISCC.2001.935350. ISBN 978-0-7695-1177-1. Retrieved 2026-08-22.

References

  1. ↑ "Agarwal - CV" (PDF). Lawrence Berkeley National Laboratory.
  2. 1 2 Troutman, Keri (2024-12-06). "Data Science Pioneer Deb Agarwal Named 2024 AGU Fellow - Computing Sciences". Computing Sciences. Retrieved 2026-08-22.
  3. ↑ Vu, Linda (July 10, 2023). "Data Science Pioneer Deb Agarwal Retires from Berkeley Lab". HPCwire. Retrieved 2026-08-22.
  4. ↑ "Berkeley Lab-Developed Digital Library is a Game Changer for Environmental". Research R & D ; Cleveland. August 1, 2018. ProQuest 2082889414.
  5. ↑ Newton, Stephen (Fall 2001). "Breaking the code: Women confront the promises and the perils of high technology". Women's Studies Quarterly; New York. Vol. 29, no. 3/4. pp. 71–79. ProQuest 233634095.
  6. ↑ "TOP 25 WOMEN ON THE WEB". San Francisco Examiner; San Francisco, Calif. 31 Jan 2000. pp. B4. ProQuest 270484198.
  7. ↑ Kornblum, Janet (31 Jan 2000). "Honoring the top 25 women on the Web". USA TODAY; McLean, Va.. pp. 03D. ProQuest 408849580.
  8. ↑ Lagadec, Christelle (April 6, 2023). "La professeure Deborah Agarwal, distinguée Docteure Honoris Causa 2023 de l'université | Actualités". actu.univ-rennes.fr. Retrieved 2026-08-22.
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