The FARI Brussels Conference returns on 18 November at Studio Flagey in Brussels, find out more.

An Initiative of

Supported by


Inas Bosch


Data Science

Knowledge reasoning

Machine Learning

PhD researcher, FARI


Inas Bosch is a PhD candidate at the FARI Institute and the Interuniversity Institute of Bioinformatics in Brussels (IB2). After obtaining a Bachelor’s degree in Mathematics, she went on to complete a Master’s degree in Bioinformatics and Modelling at the Université Libre de Bruxelles. At the end of her Master’s degree, she completed a Master’s thesis focusing on genetic diseases. This work explored the use of knowledge graph embeddings – a representation learning approach – to study rare genetic diseases, particularly digenic diseases, in which two mutated genes are involved. Her PhD research extends this work by exploring the subject more in-depth and by adapting the developed tool to a clinical setting, with the aim of facilitating the diagnosis of affected patients and the development of clinical treatments.