Alise Danielle Midtfjord

Doctoral Research Fellow - Risk and Stochastics
Image of Alise Danielle Midtfjord
Norwegian version of this page
Email alisedm@math.uio.no
Mobile phone +47 93427423
Room 1005
Username
Visiting address Moltke Moes vei 35 Niels Henrik Abels hus 0851 OSLO
Postal address Postboks 1053 Blindern 0316 OSLO

Academic interests

  • Machine learning and Data Science
  • Explainable Artificial Intelligence
  • Applications within risk and safety

Background

I did my Master of Science at the Norwegian University of Life Sciences (NMBU), in Environmental Physics. In my thesis, I combined machine learning with image analysis of PET/CT-images of cancer tumors, to predict the treatment outcome. After that, I worked with technology consulting for Accenture, working with new technologies like machine learning and extended reality. Since August 2019, I have been a PhD Student at the Department of Mathematics at the University of Oslo. Here I am working on modelling and analysis of multidimensional high-resolution environmental data with application to airport runway condition management.

 

Tags: Risk, Statistics, Machine Learning, data science

Publications

  • Grøndahl, Aurora Rosvoll; Midtfjord, Alise Danielle; Langberg, Geir Severin Rakh Elvatun; Tomic, Oliver; Indahl, Ulf Geir; Knudtsen, Ingerid Skjei; Malinen, Eirik; Dale, Einar & Futsæther, Cecilia Marie (2019). Prediction of treatment outcome for head and neck cancers using radiomics of PET/CT images. Radiotherapy and Oncology.  ISSN 0167-8140.  133, s 526- 526
  • Langberg, Geir Severin; Grøndahl, Aurora Rosvoll; Midtfjord, Alise Danielle; Tomic, Oliver; Liland, Kristian Hovde; Knudtsen, Ingerid Skjei; Dale, Einar; Malinen, Eirik & Futsæther, Cecilia Marie (2019). Establishing a complete radiomics framework for biomarker identification and outcome prediction using PET/CT images of head & neck cancers.

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Published Nov. 20, 2019 1:48 PM - Last modified Jan. 17, 2020 11:00 AM

Research groups