Svenn-Arne Dragly

Doctoral Research Fellow - Condensed Matter Physics
Norwegian version of this page
Visiting address Sem Sælands vei 24 Fysikkbygningen 0371 OSLO
Postal address Postboks 1048 Blindern 0316 OSLO
Other affiliations Faculty of Mathematics and Natural Sciences (Student)

Academic interests

I’m currently a PhD student in computational neuroscience at the University of Oslo. I’m studying memory, learning, behavior and neurological disorders from a molecular and cellular point of view. My tools are programming, simulation, visualization and data analysis.


I am involved in the project Computing in Science Education and have been a teaching assistant in the following courses:


My background includes a bachelor in Materials Science and Nanotechnology and a Master’s degree in Computational Physics, both from the University of Oslo. In my Master’s thesis, I wrote about the challenge of simulating large numbers of atoms with high levels of accuracy. To deal with this issue, I showed how detailed calculations in quantum physics can be bridged to large-scale simulations in molecular dynamics, using artificial neural networks.





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  • Dragly, Svenn-Arne (2019). Computational Tools for Integrative Neuroscience. Series of dissertations submitted to the Faculty of Mathematics and Natural Sciences, University of Oslo.. 2121.
  • Dragly, Svenn-Arne; Mobarhan, Milad; Lepperød, Mikkel Elle; Tennøe, Simen; Stasik, Alexander Johannes; Fyhn, Marianne; Hafting, Torkel & Malthe-Sørenssen, Anders (2018). Exdir An alternative to HDF5 that uses Numpy files for data, YAML for metadata and simple directories to define the hierarchy.
  • Hafreager, Anders; Dragly, Svenn-Arne & Malthe-Sørenssen, Anders (2018). Increased productivity with real time atomistic simulations using Atomify. Show summary
  • Dragly, Svenn-Arne; Mobarhan, Milad; Solbrå, Andreas Våvang; Tennøe, Simen; Hafreager, Anders; Malthe-Sørenssen, Anders; Fyhn, Marianne; Hafting, Torkel & Einevoll, Gaute (2017). Neuronify: An Educational Simulator for Neural Circuits. Show summary
  • Tennøe, Simen; Mobarhan, Milad; Dragly, Svenn-Arne; Solbrå, Andreas Våvang & Nederbragt, Alexander Johan (2017). Teaching modelling to first-year biology students. Show summary
  • Dragly, Svenn-Arne; Mobarhan, Milad; Solbrå, Andreas Våvang & Tennøe, Simen (2016). Neuronify: An educational app for simulation of neural circuits.
  • Hafreager, Anders & Dragly, Svenn-Arne (2016). Atomify - Editing, simulation and visualization in one tool.
  • Lepperød, Mikkel Elle; Wigestrand, Mattis B; Lensjø, Kristian Kinden; Frey, M.M.; Dragly, Svenn-Arne; Einevoll, Gaute; Solstad, Trygve; Fyhn, Marianne & Hafting, Torkel (2016). Grid cell network resilient to input-specific medial septum perturbations.
  • Mobarhan, Milad; Dragly, Svenn-Arne & Solbrå, Andreas Våvang (2016). Neuronify: an educational app for simulation of neural circuits.
  • Mobarhan, Milad; Dragly, Svenn-Arne; Tennøe, Simen & Solbrå, Andreas Våvang (2016). Introduction to Computational Biology with Python.
  • Dragly, Svenn-Arne; Ness, Torbjørn Vefferstad; Vervaeke, Koen Gerard Alois & Einevoll, Gaute (2015). Discovering extracellular signatures by modeling of local field potentials.
  • Hafreager, Anders & Dragly, Svenn-Arne (2015). Nerver, hjernen og teknologi: Forstå hjernen med programmering.
  • Tennøe, Simen; Mobarhan, Milad; Dragly, Svenn-Arne; Solbrå, Andreas Våvang & Langtangen, Hans Petter (2015). CSE: Computing in Science Education.

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Published Oct. 9, 2014 12:31 PM - Last modified Mar. 24, 2015 2:08 PM