As a Scientific Computing Specialist, I work at the intersection of advanced MR research, scientific computing, and research software. My work primarily focuses on developing analysis methods, software solutions, and data and analysis pipelines for the processing and analysis of MR data, including both preclinical and clinical studies using hyperpolarized 13C, 2H, and conventional proton MRI. I hold an MSc in Nanoscience along with a PhD in Health sciences and have a research background in NMR and MR technology. I have particular experience in quantitative modelling, development of automated analysis pipelines, and methodological development within metabolic MR.
My research and research support primarily focus on the development of methods and technologies for metabolic MR and NMR. This includes development of data processing and analysis methods, quantitative modelling, automated and reproducible analysis pipelines, and the development and implementation of new MR methods. The work supports research within areas including oncology and neurology and contributes to the development of new metabolic biomarkers and imaging methods.
My primary area of responsibility is the development and implementation of research-oriented analysis methods, software solutions, and data infrastructure for advanced metabolic MR research. My work includes processing and analysis of MR data, development of automated and reproducible analysis pipelines, quantitative modelling, and development and validation of analysis tools. I also contribute as a technical sparring partner to research projects and work with teaching and supervision, as well as the development of research infrastructure and software. In addition, I participate in national and international research collaborations and contribute to knowledge sharing and dissemination within advanced MR.