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Associate Professor in Computational Linguistics
Katrien Beuls (°1986) received her MSc in Speech and Language Processing from the University of Edinburgh in 2009 and her MA in Linguistics from the University of Leuven in 2008. She defended her PhD in Computer Science in 2013 at the Vrije Universiteit Brussel on a new framework for computer-assisted language learning that combines the language game methodology and computational construction grammar. Since April 2022, she is assistant professor in computer science at the University of Namur. She has been involved as PI and co-PI in numerous European research projects, including the H2020 MUHAI project (https//muhai.org), the H2020 ODYCCEUS project (https://www.odycceus.eu), the AI4EU platform (https://ai4eu.org) and the Marie Curie initial training network ESSENCE (https://www.essence-network.com). Her main research interests lie in the applications of evolutionary and hybrid AI in diverse tasks that require advanced perception, reasoning and learning skills. For a complete list of publications, see https://scholar.google.com/citations?user=ynF8ZAgAAAAJ&hl=en.
Santa Fe Institute
Complex Systems Summer School
June 1, 2012 – June 1, 2012
Vrije Universiteit Brussel
Doctor of Philosophy - PhD, Computer Science
January 1, 2009 – January 1, 2013
The University of Edinburgh
MSc, AI, Speech and Language Processing
January 1, 2008 – January 1, 2009
Eötvös Loránd University
Erasmus stay, English Language and Literature, General
August 1, 2006 – January 1, 2007
KU Leuven
Master in Linguistics, Cognitive Linguistics; Spanish
January 1, 2004 – January 1, 2008
Onze Lieve Vrouwlyceum Genk
Grieks-Wiskunde
January 1, 1998 – January 1, 2004
Université de Namur
Associate Professor
April 1, 2025 – Present
Université de Namur
Assistant Professor in Artificial Intelligence
April 1, 2022 – April 1, 2025
ICSI - International Computer Science Institute
Visiting Researcher
October 1, 2014 – October 1, 2014
Berkeley, California, United States
Vrije Universiteit Brussel
Post-doctoral Researcher and Lecturer in Artificial Intelligence
January 1, 2014 – April 1, 2022
Brussels Metropolitan Area
Universitat Pompeu Fabra
Visiting Researcher
February 1, 2013 – March 1, 2013
Barcelona, Catalonia, Spain
Sony Computer Science Laboratories Paris
Visiting Researcher
July 1, 2010 – August 1, 2010
Paris
Vrije Universiteit Brussel
Doctoral Researcher
October 1, 2009 – December 1, 2013
Brussels Metropolitan Area
Sony Computer Science Laboratories Paris
Intern
September 1, 2009 – September 1, 2009
Paris
Information Retrieval Facility
Student Intern
May 1, 2009 – August 1, 2009
Vienna
Austrian Academy of Sciences
Student Intern
March 1, 2008 – June 1, 2008
Vienna, Austria
Cultural Fit Analysis
The candidate's background is heavily academic, with a focus on research and teaching. While this brings deep theoretical knowledge, the lack of explicit industry project experience, diverse team collaboration, or contributions to open-source projects might indicate a potential gap in cultural fit for a fast-paced, product-oriented engineering environment. The candidate's experience is highly aligned with the NLP domain, but the application of this knowledge in a commercial setting is not evident.
Soft Skills & Operational Fit
The candidate's extensive academic and research career suggests strong analytical thinking, problem-solving, and independent research skills. The roles as lecturer and professor imply good communication and presentation abilities. However, the resume lacks specific details on collaborative project work, agile methodologies, or direct industry experience, which are crucial for operational fit in a typical engineering team.