Dr. Sanne Abeln

Biography

Sanne Abeln is a professor at Utrecht University, specializing in the development of AI technology to gain insights into biological systems through high throughput measurements. Her research focuses on leveraging computational technology, including Explainable AI, to simulate biological processes and create bioinformatics workflows. She employs multi-omics integration techniques to analyze various types of biological measurements, and her work includes pathway analysis to address pressing biological challenges, such as understanding genomic alterations in cancer and identifying mechanisms of protein aggregation associated with neurodegenerative diseases. Furthermore, she investigates the interactions between plants and microbiomes, highlighting the complexities of living systems at various levels of regulation. Abeln’s background involves the sophisticated usage of data collected from diverse 'omics' fields like genomics, transcriptomics, and proteomics. Given the significant advancements in AI methodologies, she aims to enhance the predictive capabilities for various tasks while addressing the challenges related to interpreting life science data. Her work underscores the need for clever adaptations of AI algorithms to effectively learn from life science data, given the often lacking detailed annotations necessary for training these models.

Research Interests

Experience