Scholar
Sanne Abeln
Google Scholar ID: TUBisFAAAAAJ
Professor of AI Technology for Life, Utrecht University
Citations & Impact
Citations
1,318
H-index
20
i10-index
35
Publications
20
Co-authors
27
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Research themes cover: The impact of genomic alterations in cancer, mechanisms of protein aggregation, finding novel biomarkers for neurodegenerative diseases, and unraveling plant-microbiome interactions.
Research Experience
- Currently a professor at Utrecht University, focusing on developing AI technology to gain understanding of biological systems from high throughput measurements. Research projects include: Explainable AI, simulations of biological systems, bioinformatics workflows, multi-omics integration techniques, pathway analysis, etc.
Education
- No specific educational background information provided.
Background
- Research Interests: Artificial Intelligence, Bioinformatics, Genomics, Data Science, Protein Aggregation, Cancer Mutations. Specialization: Application of AI technology in Life Sciences.
Miscellany
- No additional personal information such as hobbies or interests provided.
