Projects
Kamp Lab participates in research projects on trustworthy machine learning, federated and privacy-preserving learning, causal machine learning, and AI for healthcare. Our projects combine methodological research with applications in real-world and high-stakes domains.
Current and Completed Research Projects
Current Projects
“(FLIP-IT) Federated Learning in Practice Networks Infrastructure for decentralized training of medical AI models. (TRACE) Trustworthy and Robust Anomaly Detection in Clinical Environments.”
Finished Projects
““RACOON: Building a nationwide radiological infrastructure for collaborative imaging research””