Scholar

Georgios (George) Kaissis

Google Scholar ID: g-WdmSgAAAAJ

Unknown affiliation

Human-Centred AIDifferential PrivacyAI in MedicineAI SafetyAI Security

Citations & Impact

All-time

Citations

8,314

H-index

i10-index

Publications

Co-authors

list available

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Publications

20 items

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Resume (English only)

Academic Achievements

Research Experience

1. Senior Research Scientist at Google DeepMind
2. Senior Lecturer at the Technical University of Munich, leading the Privacy-Preserving and Trustworthy Artificial Intelligence research group
3. Leader of the Reliable AI research group at Helmholtz Munich

Education

1. Post-doc in Artificial Intelligence at the Department of Computing, Imperial College London, under Professor Daniel Rueckert
2. Specialist diagnostic radiologist board certification from the Institute for Diagnostic and Interventional Radiology at TUM
3. Medical degree from LMU Munich
4. Master's Degree in Health Business Administration from FAU Nuremberg

Background

Research interests include privacy-preserving AI (with a focus on differential privacy and its applications to deep learning), biomedical applications and deployments (especially in medical imaging), trustworthy AI (explainability, fairness, alignment), AI security and attacks against machine learning models, memorisation and training dynamics of neural networks, probabilistic machine learning techniques, federated learning, geometric deep learning, and graph neural networks.

Miscellany

Co-authors

3 total