معرفی
Sonja Aits is an Associate Senior Lecturer and Research Team Manager at Lund University, focusing on interdisciplinary research at the intersection of Artificial Intelligence, Cell Biology, and Environmental Science. She leads studies on lysosomal biology, cell death mechanisms, and their implications for human health and environmental sustainability. Her work bridges computational methods with biomedical applications, including AI-driven image analysis and text mining in medicine.
- Affiliations: Lund University Cancer Centre (LUCC), BECC (Biodiversity & Ecosystems), and multiple AI-focused profile areas (e.g., AI and Digitalization).
- Research Themes: Lysosome regulation, environmental toxin effects, AI in microscopy, and sustainable healthcare.
Her research interests emphasize leveraging AI to analyze large-scale biomedical datasets, develop predictive models for protein function, and integrate multi-omics data. Collaborations include NEUBIAS, TRANSAUTOPHAGY, and international networks like eSSENCE and EpiHealth.
Publications highlight contributions to high-content microscopy datasets, AI ethics in healthcare, and interdisciplinary AI education. She actively participates in conferences and public outreach on AI’s societal impact, particularly in Sweden.
Grants and Projects: Over 22 funded projects, including FORMAS-supported studies on environmental toxins and AI-based text mining for pandemic response. Supervised one doctoral student to date.
Labs/Teams: Manages research teams in Cell Death studies and coordinates initiatives like the 'Cell Death Census' and OpenChart-SE medical data projects.
