About Me

I do research on multilingual text summarization in low-resource settings where transparency and data-efficiency is key. I am currently working on building datasets and quantifying the quality of data in an automatic fashion. I am an industrial Ph.D. at Novo Nordisk and am part of the NLP North research unit at the IT University of Copenhagen. I am supervised by Christian Hardmeier.


  • (EMNLP 2021) MassiveSumm: A very large-scale, very multilingual, news summarisation dataset
  • (LREC 2020) DaNewsroom - A Large Scale Danish Summarization Dataset
  • (NoDaLiDa 2020) The Danish gigaword project
  • (EMNLP 2018) When data permutations are pathological: the case of neural natural language inference
  • (NoDaLiDa 2019) UniParse: A universal graph-based parsing toolkit


  • (2014-2017) IT University of Copenhagen, MSc in IT
  • (2013) École pour l’informatique et les techniques avancées, ERASMUS
  • (2011-2014) IT University of Copenhagen, BSc in IT


  • (2020-2022) Industrial Ph.D., Novo Nordisk & IT University of Copenhagen
  • (2019) Research Assistant, IT University of Copenhagen
  • (2018-2019) Senior Machine Learning Engineer, Karnov Group
  • (2017-2018) Research Assistant, IT University of Copenhagen
  • (2016-2018) Assistant Lecturer, Teaching Assistant, IT University of Copenhagen
  • (2015-2016) Frontend Developer, Heartbeats
  • (2014-2017) Full Stack Developer, International Association of Prosecutors

Reviewing Experience

  • WNUT 2021
  • NoDaLiDa 2021
  • WNUT 2020