Dr. Anika Hannemann

Work at ZHAW

Position

• Team Member SCRAI Swiss Centre for Responsible AI
• Senior Researcher

Focus

• AI Privacy & AI Security
• Responsible AI
• Distributed Learning, Federated Learning, Edge AI
• Clinical and biomedical data, medical AI

Projects

• SCRAI – A Think-and-Do-Tank for Responsible Development and Societal Alignment of Artificial Intelligence Systems / Team member / ongoing

Publications

Articles in scientific journal, peer-reviewed

Swaminathan, A., Hannemann, A., Ünal, A. B., Pfeifer, N., & Akgün, M. (2025). PP-GWAS : privacy preserving multi-site genome-wide association studies. Nature Communications, 16(1), 11030. https://doi.org/10.1038/s41467-025-66771-z

Publications before appointment at the ZHAW

• Federated learning on transcriptomic data: Model quality and performance trade-offs
• Differentially Private Multi-Label Learning Is Harder Than You'd Think
• A privacy-preserving framework for collaborative machine learning with kernel methods
• Private, efficient and scalable kernel learning for medical image analysis
• Is Homomorphic Encryption Feasible for Smart Mobility?
• Federated Learning in Genetics: Extended Analysis of Accuracy, Performance and Privacy Trade-offs

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