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Bio
Peter Dawyndt received the MSc degrees in mathematics and computer science from Ghent University, Belgium, in 1997 and 1999, respectively, and the PhD degree in computer science in December 2004. From 1999 to 2006, he worked at the Laboratory of Microbiology, Ghent University, helping to establish a symbiosis between mathematics, computer science, and the life sciences as a means to further explore the diversification processes that drive evolution. He also joined the research unit Knowledge-based Systems (KERMIT), Ghent University, in 2005. His research career somewhat became a full circle when, in 2006, he was appointed as a professor at the Department of Applied Mathematics and Computer Science, Ghent University, where he is currently teaching courses in computer science. He is the author of several peer-reviewed papers published in international research journals. His research is situated at the intersection of computer science and the life sciences. This interface is not only a potential starting point for fundamental new developments in biology, biotechnology, and medicine, but also for potentially profound developments in the future of computing. Big challenges for future computing systems have elegant analogies and solutions in biology, such as the development and evolution of complex systems, resilience and fault tolerance, and adaptation and learning. New levels of understanding and knowledge about biological processes and systems could underpin the new building blocks of the next century of computing. He is also regarded as the founding father of the StrainInfo.net bioportal.
Research Interests
Papers共 119 篇Author StatisticsCo-AuthorSimilar Experts
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SOFTWAREX (2024): 101617-648
Journal of Learning Analyticspp.1-21, (2024)
Rien Maertens, Maarten Van Neyghem, Maxiem Geldhof,Charlotte Van Petegem,Niko Strijbol,Peter Dawyndt,Bart Mesuere
SoftwareX (2024): 101755
Charlotte Van Petegem, Kasper Demeyere,Rien Maertens,Niko Strijbol,Bram De Wever,Bart Mesuere,Peter Dawyndt
CoRR (2024)
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JOURNAL OF LEARNING ANALYTICSno. 1 (2024): 132-150
Journal of Proteome Researchno. 8 (2023): 2620-2628
ITiCSE (2)pp.632-632, (2023)
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