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

• Swaminathan, Arjhun; Hannemann, Anika; Ünal, Ali Burak; Pfeifer, Nico; Akgün, Mete,

  2025.

  PP-GWAS : privacy preserving multi-site genome-wide association studies.

  Nature Communications.

  16(1), pp. 11030.

  Available from: 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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