Holger Hoos
Professor of Machine Learning
- Name
- Prof.dr. H.H. Hoos
- Telephone
- +31 71 527 5777
- h.h.hoos@liacs.leidenuniv.nl
- ORCID iD
- 0000-0003-0629-0099
Holger Hoos is Professor of Machine Learning at LIACS. His research interests span artificial intelligence, empirical algorithmics, bioinformatics and computer music.
More information about Holger Hoos
PhD Candidates
News
-
Conference on opportunities and dangers of AI: ‘Europe needs a daring vision’ -
ESA grant to improve the Earth's 'digital twin' -
CLAIRE wins prestigious Artificial Intelligence prize -
Semi-supervised learning paper selected as 2020 NatureSpringer Research Highlight -
Holger Hoos appointed ACM Fellow -
More powerful data centre will accelerate research -
Finding unique drug structures with artificial intelligence and chemistry -
AI versus corona -
Major win for CLAIRE in 50 million euro round of “seed funding” -
‘Holland, invest in the national AI-ecosystem’ -
Science Groot funding for Leiden scientists -
‘Nothing is so special about human intelligence, that it cannot be replicated in a machine’ -
Gravitation Grant for combining human and artificial intelligence -
These are the five Leiden highlights of ICT.OPEN -
Free symposium reveals surprising uses of AI -
Major steps towards realising a bold vision for European Excellence in AI -
AI researchers stress importance of collaborations with UK -
CLAIRE in I/O magazine -
Holger Hoos in NRC about AI brain drain -
Francien Dechesne will give a Tegenlicht-talk at Lowlands -
Inauguration computer cluster GRACE at LIACS -
More effective data-driven policymaking -
Artificial intelligence to extend, not replace human capabilities
Research Group
Former PhD Candidates
Holger founded the ADA Research Group in 2017, after being appointed Professor of Machine Learning at the Leiden Institute of Advanced Computer Science (LIACS). He is also an Adjunct Professor of Computer Science at the University of British Columbia (Canada), where he holds an additional 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) and past president of the Canadian Association for Artificial Intelligence / Association pour l'intelligence artificielle au Canada (CAIAC). Holger completed his PhD in 1998 at TU Darmstadt (Germany), where he previously studied computer science, mathematics and biochemistry.
Holger's research interests span artificial intelligence, empirical algorithmics, bioinformatics and computer music. He is known for his work on machine learning and optimisation methods for the automated design of high-performance algorithms and for his work on stochastic local search. Based on a broad view of machine learning, 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 (Oslo Metropolitan University) and Philipp Slusallek (German Research Center for Artificial Intelligence), 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 and aims to achieve an impact similar to that of CERN. The initiative has attracted major media coverage in many European countries and garnered broad support by more than 1000 AI experts, more than one hundred fellows of various scientific AI associations, many editors of scientific AI journals, national AI societies, top AI institutes and key stakeholders in industry and other organisations (for details, see claire-ai.org).
Professor of Machine Learning
- Faculty of Science
- Leiden Inst of Advanced Computer Science
- Licensing of software developed based on my work at UBC, occasional consulting
- (Co-)supervision of students, joint research