Rotterdam, South Holland, NL
Dordtselaan 27 H

+45 53767797






I believe computer-based analysis of medical images and clinical data will change the future of modern healthcare and I'm absolutely thrilled to be working in this field. My main interest is improving clinical workflow using computer aided diagnosis. I strongly believe in AI-based image analysis and making my science-y algorithms user-friendly so the (often not so technical) clinical personnel can actually put them to good use. For my Master's in Medicin & Technology I specialized in machine learning and medical image processing. Being part medicine and part computer science, this degree provides a fantastic multi-disciplinary foundation for working in this field. Having had medical courses alongside medicine students I understand mentality of healthcare professionals and how to work a multidisciplinary environment. And as a graduate in engineering I am result-oriented, versatile and analytical. I also have a bachelor degree in physics which has taught me the principles of problem solving and mathematical modelling. I come with an open mind, new ideas and high standards for myself and the company I work for. I have international experience and practical understanding of client contact through my 10 years working at Frederiksberg Hospital as a project assistant and fulltime R&D. I am easy to work with and contribute to a relaxed but focused workplace.


Scientific Project Officer, Image Analysis

April 2014 - April 2015

Image Analysis Ltd develops Dynamika, an enterprise platform for MRI analysis and scoring. I develop the core image processing algorithms specifically for scoring inflammatory or autoimmune conditions such as rheumatoid arthritis and cancer. The algorithms are both fully automatic and semi-automatic allows for detection and quantification of even subtle changes in disease progression. I also work on the Node.js-based front-end and Java-based enterprise-grade back-end.


  • Integrated the elastix medical image registration library and the entire ITK library with our Java-based backend.
  • Developed an algorithm that identifies bone voids and output 3D printing instructions for printing bio-reabsorbable scaffolds on which stem cells can grow and heal major bone defects.
  • Key contributor to Image Analysis' state-of-the-art cloud-based medical image processing platform used in research and clinical practice all over the world.
  • Academic and technical support to clinical users.

Research & Development and Project Assistant, Parker Institute, Frederiksberg Hospital

January 2003 - March 2014

The Parker Institute is a research organization at Frederiksberg Hospital. I was initially hired as project assistant doing project management and conducting medical test on patients mainly in the areas of rheumatology and fibromyalgia. When I started studying physics I was assigned to the medical image department and conducted research in collaboration with Department of Radiology.


  • Developed an algortihm for knee cartilage segmentation from MR images that would turn into my bachelor thesis.
  • Extensive patient contact.


Medical Image Analysis

C++ ITK CUDA Python Matlab

Medical Imaging

Machine Learning Mathematical Modelling Underlying physics of MR/CT/PET/X-ray

Research & Development

Project Management Scientific Paper Writing Excellent Presentation Skills International Experience Continuous Integration SCRUM Software Development

Front-end Development

HTML 5 CSS3 Angular.js Javascript Jekyll

Back-end Development

Docker Node.js Java Spring IO Platform PostgreSQL CouchDB Neo4j


Ph.D, Model-based medical image registration - Biomedical Imaging Group Rotterdam, Erasmus MC, Netherlands

April 2015 - Present

Master, Medicin & Technology, Image Diagnostics and Radiation Physics Study Programme - Technical University of Denmark

September 2011 - March 2014


Bachelor, Physics - University of Copenhagen

September 2017 - August 2011



Best Student Paper Award - IEEE ELMAR 2011, Zadar, Croatia

15 September 2011

Awarded for a paper written on the basis of my bachelor thesis "Semi-automatic Segmentation of Knee Osteoarthritic Cartilage in Magnetic Resonance Images".


Semi-automatic Segmentation of Knee Osteoarthritic Cartilage in Magnetic Resonance Images

25 May 2011

Fast, innovative algorithm for segmentation of knee articular cartilage.



Mike Johnston Tony Royster Jr. Double bass pedals


Hangtime After ski

Scuba diving

The closest you can come to feeling like flying



Fluency: Native profeciency


Fluency: Full professional profeciency


Fluency: Elementary profeciency


I had the pleasure of supervising Kasper during a 5 month visit he made to Manchester (March-June 2013). During that time he was working on extending parts+geometry models to help improve 3D image registration. He was an excellent student - he quickly familiarised himself with new, fairly complex C++ code and was able to develop quite a sophisticated system in a short time. He interacted well with the group here and seemed to make good use of the opportunities available in Manchester. I have very much enjoyed working with Kasper, who I’m sure will go on to great things in whatever area he chooses to work in. He learns quickly, writes well and has demonstrated the ability to come up with innovative new ideas. He will be a great asset to any company or research group that takes him on.

- Tim Cootes, Professor in Computer Vision, University of Manchester

Kasper is a graduate student at the medicine and technology program at DTU. We know Kasper from his earlier work and projects connected to our department and he has proven to be an outstanding student. He is highly motivated and gifted with an open attitude. Kasper is one of our top student and we hope that he will continue his career at our institution.

- Rasmus Poulsen, Associate Professor, DTU Compute, Technical University of Denmark

Kasper is very bright, self-motivated and enthusiastic. It is a pleasure to work with him!

- Dr. Olga Kubassova, Founder and CEO at Image Analysis Ltd