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The focus of her group is in developing computational methods for outstanding problems in systems biology and systems genetics. Hereto the group combines advanced statistics, AI, and data mining, with the proper biological assumptions. Their expertise is in developing innovative solutions for underdetermined data analysis problems by using graph-based prior models with applications in integrative biology and systems biology.
"> https://www.ugent.be/ea/idlab/en/members/kathleen-marchal.htm).The focus of her group is in developing computational methods for outstanding problems in systems biology and systems genetics. Hereto the group combines advanced statistics, AI, and data mining, with the proper biological assumptions. Their expertise is in developing innovative solutions for underdetermined data analysis problems by using graph-based prior models with applications in integrative biology and systems biology.
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K. Marchal obtained a degree in Bioscience Engineering KU Leuven, Belgium (1990-1995) and obtained a PhD in Molecular Microbiology in 1999 (FWO fellow). From 1999-2004, she was postdoctoral fellow FWO in ESAT-SCD (KU Leuven, Faculty of Engineering) and contributed to set up one of the first Belgian bioinformatics labs. From 2004-2014 she was affiliated to the KU Leuven, first as assistant and later as associate professor (Fac of Bioscience Engineering). In 2011, she joined UGent (Fac of Sciences), first as associate (2011-2021) and since 2021 as full professor in bioinformatics. The interdisciplinary research group of K. Marchal is physically located at IDLab (Fac of Engineering, https://www.ugent.be/ea/idlab/en/members/kathleen-marchal.htm).
The focus of her group is in developing computational methods for outstanding problems in systems biology and systems genetics. Hereto the group combines advanced statistics, AI, and data mining, with the proper biological assumptions. Their expertise is in developing innovative solutions for underdetermined data analysis problems by using graph-based prior models with applications in integrative biology and systems biology.
