Christoph Lampert

Christoph Lampert is a Professor at the Institute of Science and Technology Austria (ISTA), where he leads the Machine Learning and Computer Vision research group. His primary affiliations are with ISTA, though no specific school or department is explicitly mentioned in available sources. His research spans machine learning fundamentals, computer vision, and emerging areas of trustworthy AI including privacy, fairness, robustness, and federated learning systems.

Lampert's recent work demonstrates strong focus on theoretical and applied aspects of differential privacy, neural collapse phenomena, federated learning architectures, and verification methods for neural networks. His group consistently publishes at top venues like NeurIPS, ICML, and ICLR, with recent explorations in privacy-preserving ML, multi-task learning theory, and hardware-algorithm co-design.

He has received significant recognition including the 2025 DARPA Disruptive Ideas award and ELLIS Fellowship. As ELLIS Unit Director at ISTA, he coordinates pan-European AI research initiatives. His editorial contributions include leadership roles at Journal of Machine Learning Research and IEEE TPAMI.

Lampert actively advises graduate researchers, with recent PhD graduates including Bernd Prach (robust image classification) and Alex Peste (robustness/fairness). Current research groups explore federated learning, neural verification, and privacy-preserving algorithms.