معرفی
Andreas Krause is a Professor of Computer Science at ETH Zurich, where he leads the Learning & Adaptive Systems Group. He holds additional roles as Academic Co-Director of the Swiss Data Science Center, Chair of the ETH AI Center, and co-founder of the ETH spin-off LatticeFlow. Previously, he was an Assistant Professor at Caltech.
- Education: PhD in Computer Science from Carnegie Mellon University (2008), Diplom in Computer Science and Mathematics from Technical University of Munich (2004)
His research focuses on machine learning and adaptive systems, with applications in probabilistic AI, sequential decision-making, and responsible AI. He has contributed to advancements in active learning, reinforcement learning, and large language models, particularly for scientific and real-world challenges.
Scientific awards and fellowships include:
- Rössler Prize
- ERC Starting and Consolidator Grants
- German Pattern Recognition Award
- NSF CAREER Award
- ETH Golden Owl Teaching Award
- ACM Fellow, IEEE Fellow, ELLIS Fellow
- Microsoft Research Faculty Fellow
- Kavli Frontiers Fellow
- Test of Time Awards at ACM SIGKDD (2019) and ICML (2020)
He has held leadership roles in major AI conferences, serving as Program Co-Chair for ICML 2018 and General Chair for ICML 2023, and is an Action Editor for the Journal of Machine Learning Research. In 2023–24, he contributed to global AI governance as a member of the United Nations’ High-level Advisory Body on AI.
