Ingrid Kristine Glad

Ingrid Kristine Glad (born 1965)[1] is a Norwegian statistician whose research topics have included nonparametric regression, DNA microarray data, and image processing. She is a professor of statistics and data science at the University of Oslo.[2]

Education and career

Glad was born in Oslo. After rebelling against her family by preferring mathematics to language, Glad studied physics and statistics at the Norwegian Institute of Technology. She is married to statistician Arnoldo Frigessi, and followed Frigessi to Italy for postdoctoral research before returning to Norway for her position at the University of Oslo.[1]

As a teenager she worked a stint on a cargo ship,[1] and her later research has also included using statistics to prevent shipping disasters.[3]

Recognition

Glad is an Elected Member of the International Statistical Institute.[4] She was elected to the Norwegian Academy of Science and Letters in 2019.[5]

gollark: Given that it is not decentralised and just stores a transaction log on a central server I'd hesitate to call krist a cryptocurrency.
gollark: https://lhartikk.github.io/
gollark: Not really. NaiveCoin is a few hundred lines of JS or something.
gollark: <@259973943060856833> I don't actually have a system for automatically handling this. If you actually do want this I'll need to do it manually.
gollark: Like I said, you could use osmarks.tk™ cloud™, we have more than *50%* uptime!

References

  1. Haugnes, Gunhild M. (25 November 2015), "Statistikeren som vil forstå verden", Titan (in Norwegian), University of Oslo, retrieved 2020-03-13
  2. "Ingrid Kristine Glad", Academic staff, University of Oslo Department of Mathematics, retrieved 2020-03-13
  3. Vogt, Yngve (7 February 2019), "Avoids ship disasters with advanced statistics", Apollon, University of Oslo, retrieved 2020-03-13 via Science Norway
  4. ISI Elected Members, International Statistical Institute, retrieved 2020-03-13
  5. Academy members, Norwegian Academy of Science and Letters, retrieved 2020-03-13
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