Summary
Vilde Kaldhusdal is a postdoctoral researcher at Karolinska Institutet with a PhD in mucosal immunology and eight years of experience applying bioinformatics, statistical modeling, and machine learning to complex microbiome datasets. She designs reproducible analysis pipelines, leverages version control and workflow automation, and produces publication-ready visualizations that bridge bench science and clinical collaborators. Her work spans hands-on sequencing data processing (16S/ASV), hypothesis-driven biostatistics, and scalable data science applied to translational microbiome research. Vilde has a track record of communicating results to interdisciplinary teams and presenting at international conferences. Outside the lab she has led student organizations and practical lab roles, reflecting strong project leadership and operational reliability. Based in Stockholm, she combines deep experimental roots with computational rigor, often enhancing analyses with design-forward visualization and documented workflows.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Molecular Biology, Master of Science - MS, Molecular Biology at Karolinska Institutet
Upper Secondary School, Natural sciences, Upper Secondary School, Natural sciences at Foss Hig School
Bachelor's degree, Molecular biology, Bachelor's degree, Molecular biology at Universitetet i Oslo (UiO)
Master of Science - MS, Molecular Techniques in Life Science, Master of Science - MS, Molecular Techniques in Life Science at KTH Royal Institute of Technology
Individual courses, Natural sciences, Individual courses, Natural sciences at University of Oslo
Master of Science - MS, Master of Science - MS at Stockholms universitet
Norwegian, English, German