The Rasmussen Group focuses on the development and application of computational algorithms such as machine and deep learning for analysis and integration of multi-omics and multi-modal data within cardio metabolic disease.

Group picture, 2024
Rasmussen group in 2024. From left to right: Top row: Lasse Schnell Danielsen, Jakob Nybo Nissen, Knud Nor Nielsen, Svetlana Kutuzova, Weilin Wang, Marc Pielies Avelli, Ricardo Hernandez Medina, Mads Cort Nielsen Middle row: Leonardo Cobuccio, Terne Torn Jakobsen, Simon Rasmussen, Kirstine Ravn, Foteini Aktypi, Pau Piera Lindez Bottom row: Justus Gräf, Henry Webel, Jonas Meisner

Research focus

To solve fundamental biological questions related to human health and disease it has become apparent that we must study them from multiple angles using multi-omics and multi-modal data. This is especially important for complex phenotypes such as cardio metabolic diseases.

Our research aims to develop advanced bioinformatics and computational methods based on recent advances in artificial intelligence. By learning across multiple types of data we are able to better understand diseases and work towards precision health

In particular the group focus on analysis of multi-omics data such as genomics, proteomics, microbiome data, clinical records, and electronic health data. By bringing all of this information together we want to translate biological and medical knowledge to the clinic.