Christian Weichselbaum is an Assistant Professor at the Department of Computer Science, University of Copenhagen. His research is centered on causality, machine learning, and artificial intelligence, with a particular focus on developing robust methods for causal discovery, causal representation learning, and understanding how AI systems can adapt to changing environments and distribution shifts. He often explores the intersection of statistical methodology and deep learning to tackle complex problems. Christian completed his PhD at the Institute of Science and Technology Austria (IST Austria) and held postdoctoral positions at the Max Planck Institute for Intelligent Systems in Tübingen and subsequently at the University of Copenhagen before starting his assistant professorship.
Christian Weichselbaum's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Awarded a prestigious European Research Council (ERC) Starting Grant for his project 'Causality for Autonomous and Adaptive Systems (CAUSALADAPT)'. This grant supports research into developing new causal methods for AI systems that can reliably adapt to new, unseen environments.
Secured a tenure-track Assistant Professor position at the highly-ranked Department of Computer Science, University of Copenhagen, enabling him to lead his own research group and contribute to teaching in AI and machine learning.
Successfully completed his doctoral studies at the Institute of Science and Technology Austria, a leading research institute, with a dissertation likely focused on causal inference and machine learning.
Authored and co-authored numerous research papers published in leading machine learning and statistics conferences and journals, such as NeurIPS, ICML, AISTATS, and JMLR, contributing significantly to the understanding of causality and its application in AI.
Technische Universität Wien - Year 2005
Technische Universität Wien - Year 2010
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