Håvard Kvamme

Doctoral Research Fellow - Statistics and Data Science
Image of Håvard Kvamme
Norwegian version of this page
Room 808
Visiting address Moltke Moes vei 35 Niels Henrik Abels hus 0851 OSLO
Postal address Postboks 1053 Blindern 0316 OSLO

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Academic interests

Statistical prediction, machine learning, deep learning, data science.

Selected talks

Machine Learning @ UiO, Jun 2017
Credit scoring by deep learning on time series.


Master of Science (Sivilingeniør) from Norwegian University of Science and Technology: Industrial Mathematics.
Master's Thesis: Gender prediction on Norwegian Twitter accounts.

Positions held

PhD Candidate BigInsight Personalized Marketing.


Tags: Statistics and biostatistics


  • Kvamme, Håvard; Sellereite, Nikolai; Aas, Kjersti & Sjursen, Steffen A. Søreide (2018). Predicting mortgage default using convolutional neural networks. Expert systems with applications.  ISSN 0957-4174.  102, s 207- 217 . doi: 10.1016/j.eswa.2018.02.029 Show summary

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  • Aas, Kjersti; Sellereite, Nikolai & Kvamme, Håvard (2017, 30. april). Roboten gir lån hvis den får gode vibrasjoner fra kontoen din. [Internett].  www.dn.no.
  • Kvamme, Håvard & Aas, Kjersti (2017). Credit scoring by deep learning on time series.
  • Kvamme, Håvard; Sellereite, Nikolai & Aas, Kjersti (2017). Credit Scoring using Deep Learning of Time Series data. NR-notat. SAMBA/11/2017.

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Published Jan. 6, 2016 10:27 AM - Last modified Nov. 6, 2018 2:48 PM

Research groups