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Rachel Ward (mathematician)

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This is an old revision of this page, as edited by Ser Amantio di Nicolao (talk | contribs) at 00:07, 14 September 2018 (Removing from Category:Women mathematicians (parent category) using Cat-a-lot). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

Rachel Ward is an American applied mathematician at the University of Texas at Austin who researches machine learning and signal processing.

Education

Rachel Ward received her BS in mathematics from the University of Texas at Austin in 2005.[1] She earned her PhD in applied and computational mathematics from Princeton University in 2009. Her PhD advisor was Ingrid Daubechies.[2]

Awards and honours

Rachel Ward and Deanna Needell received the IMA Prize in Mathematics and Applications in 2016.[3]

References

  1. ^ "Rachel A. Ward" (PDF). Retrieved April 8, 2017.
  2. ^ "Rachel Angela Ward". Mathematics Genealogy Project. Retrieved April 8, 2017.
  3. ^ "Deanna Needell and Rachel Ward Co-awarded the 2016 IMA Prize in Mathematics and its Applications". IMA. Retrieved April 8, 2017.


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