Dr. Rasmus Magnusson

Biography

Rasmus Magnusson is a postdoc at Linköping University, focusing on the development and implementation of large-scale systems biology models to analyze high-throughput intracellular data. His research is centered on understanding high-throughput biological data using computational methods, machine learning, statistical modeling, and systems biology to support medical and biological teams with computational resources, and to develop new tools to reveal disease-driven intracellular changes. Magnusson began his research path in 2014 during his time as a student at IMT, where he was introduced to mechanistic modeling in systems biology. After completing his MSc, he pursued a PhD in bioinformatics at the Department of Physics, Chemistry and Biology, concentrating on predicting high-confidence gene regulatory networks from RNA-seq data. Following his thesis defense, he worked as a postdoctoral researcher at the University of Skövde in collaboration with pharmaceutical companies, where he initiated a project as a senior research leader, concentrating on the development of variational autoencoders and artificial neural networks aimed at extracting disease-specific groups of interconnected genes. Upon returning to IMT, his work emphasizes method development and the application of computational approaches to real-world biomedical data, with the long-term goal of establishing a hub to support the interpretation of diverse high-throughput datasets in the life sciences.

Research Interests