Holger H. Hoos is Professor of Machine Learning at Universiteit Leiden (the Netherlands) and Adjunct Professor of Computer Science at the University of British Columbia (Canada), where he also holds an appointment as Faculty Associate at the Peter Wall Institute for Advanced Studies. He is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), Fellow of the European Association for Artificial Intelligence (EurAI), chairman of the board of the Confederation of Laboratories of Artificial Intelligence Research in Europe (CLAIRE), vice-president of EurAI, past president of the Canadian Association for Artificial Intelligence (CAIAC), Associate Editor-in-Chief of the Journal of Artificial Intelligence Research (JAIR) and leader of the VISION coordination mandate for the recently launched European networks of centres of excellence in AI. Holger's research interests span artificial intelligence, empirical algorithmics, bioinformatics and computer music.
Known for his work on machine learning and optimisation methods for the automated design of high-performance algorithms and on stochastic local search, he has developed - and vigorously pursues - the paradigm of programming by optimisation (PbO); he is also one of the originators of the concept of automated machine learning (AutoML). Holger has a penchant for work at the boundaries between computing science and other disciplines, and much of his work is inspired by real-world applications. In 2018, together with Morten Irgens (OsloMet) and Philipp Slusallek (DFKI), Holger launched CLAIRE, an initiative by the European AI community that seeks to strengthen European excellence in AI research and innovation. CLAIRE promotes excellence across all of AI, for all of Europe, with a human-centred focus (for details, see claire-ai.org).
