I am a Computer Science Ph.D. student at the IT University of Copenhagen and the Pioneer Centre for Artificial Intelligence, advised by Michael J. Kastoryano and Serge Belongie. Additionally, I am honored to be a Danish Data Science Academy (DDSA) fellow. My research interests are in Machine Learning and Computer Vision with a special focus on using Tensor Network methods for efficient Image Rendering.
I hold B.Sc. and M.Sc. degrees in Computer Science from Aarhus University, specializing in Machine Learning. I have also worked as a Computer Vision and Machine Learning engineer at AMCS Group and in a Data Science role at Systematic.
Text-Driven Stylization of Video Objects
ECCV Workshop on AI for Creative Video Editing and Understanding, 2022.
(Best Paper Award) (Oral Presentation)
A method for stylizing video objects in an intuitive and semantic manner following a user-specified text prompt.
Progressive Parameter Space Visualization for Task-Driven SAX Configuration
EuroVA, 2020. (Oral Presentation)
  PaperWe propose a task-driven parametrization of PAA and SAX through a parameter space visualization that shows the difference of progressively running a given analytic computation on the original and on the reduced data for a representative set of data samples.
Text-Driven Stylization of Video Objects, Oral presentation ECCV Workshop on AI for Creative Video Editing and Understanding, Tel Aviv 2022.
Progressive Parameter Space Visualization for Task-Driven SAX Configuration, Norrköping, Sweden 2020.
Best Paper Award, ECCV Workshop on AI for Creative Video Editing and Understanding, Tel Aviv 2022. Twitter post.
Queen Margrethe II's travel grant. September 2022. News article from Aarhus University.
Awarded a prestigious Ph.D. scholarship from the Danish Data Science Academy (DDSA), contributing to the vibrant landscape of data science research.