Dr. Anika Hannemann

Arbeit an der ZHAW

Tätigkeit

• Team-Mitglied SCRAI Swiss Centre for Responsible AI
• Senior Researcher

Arbeits- und Forschungsschwerpunkte

• Privatheit und Sicherheit in der KI
• Verantwortungsvolle KI
• Verteiltes Systeme, Dezentrales Training von KI
• Klinische und biomedizinische Daten, medizinische KI

Projekte

• SCRAI – A Think-and-Do-Tank for Responsible Development and Societal Alignment of Artificial Intelligence Systems / Teammitglied / laufend

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, 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

Publikationen vor Tätigkeit an der 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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