Karin Schnass

Karin Schnass (born 1980)[1] is an Austrian mathematician and computer scientist known for her research on sparse dictionary learning.[2] She is an assistant professor of mathematics at the University of Innsbruck.[3]

Schnass receiving the Start-Preis in June 2014. Beside her is Reinhold Mitterlehner, Austrian Minister of Economy.

Education and career

Schnass was born in Klosterneuburg.[1] She earned a master's degree in mathematics at the University of Vienna in 2004, with a thesis surveying Gabor multipliers supervised by Hans Georg Feichtinger.[3] She completed her Ph.D. in communication and information sciences at the École Polytechnique Fédérale de Lausanne in 2009. Her dissertation was Sparsity & Dictionaries – Algorithms & Design, and her doctoral advisor was Pierre Vandergheynst.[3][4]

After postdoctoral research at the Johann Radon Institute for Computational and Applied Mathematics of the Austrian Academy of Sciences in Linz[3] (chosen over Stanford University to stay close to her family)[5] and as an Erwin Schrödinger Research Fellow at the University of Sassari and University of Innsbruck, she joined the Innsbruck Department of Mathematics as an assistant professor in 2016.[3]

Recognition

Schnass was a winner of the Start-Preis of the Austrian Science Fund in 2014.[1] She was a keynote speaker at iTWIST 2016.[2]

gollark: The amount they charge.
gollark: Are their rates comparable with the evil spirits'?
gollark: Do they charge per bit or what?
gollark: Does it work even on extremely small pencils?
gollark: Can we somehow use the evil spirits for communication and/or answering questions?

References
  1. Drei START-Preise an Universität Innsbruck, University of Innsbruck, June 17, 2014, retrieved 2018-12-11
  2. Arildsen, Thomas (July 6, 2016), "iTWIST'16 Keynote Speakers: Karin Schnass", Adventures in Signal Processing and Open Science
  3. Curriculum vitae (PDF), retrieved 2018-12-11
  4. Karin Schnass at the Mathematics Genealogy Project
  5. Schnass, Karin, "Ajó!* – Off to Sardinia", scilog, Austrian Science Fund, retrieved 2018-12-11
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