Floriane Montanari is a research scientist in the Machine Learning Research department at Bayer AG. She has a background in bio-, chemo- and pharmacoinformatics. Her doctoral degree dealt with the in-silico prediction of inhibition of liver ABC-transporters. She has been an active member of the European IMI project “eTOX” within the University of Vienna where she built predictive models related to liver toxicity. Her research now focuses on deep learning methods for predicting properties of small molecules including ADMET properties and biological activity. She recently obtained internal funding for a project on explainable AI.