Sarah Laroui is a Franco-Moroccan student in the final year of her PhD in Automatic, Signal and Image Processing at the Université Côte d'Azur, Nice, France. She holds a high school diploma in Science with a specialty in Mathematics and a license and master’s degree in Computational Biology and Mathematics with a specialty in Genetics Immunity and Development. Her doctorate started on August 2018 as part of a collaboration between the Excellence Biochimie team of the Bayer CropScience Dargoire Research Center of Lyon, (fungicide research center) and Morpheme (joint team INRIA, I3S and iBV), based in Sophia Antipolis. Her current research focuses on image analysis and machine learning. She works on images of the fungus Botrytis cinerea generated by transmitted light microscopy in the presence of antifungal molecules. Some chemical treatments can induce dramatic morphological changes, or «phenotypes», observable in microscopy and associated with the mode of action of the studied molecule (known or unknown/new mode of action). These morphological changes are studied with the ultimate aim of being able to recognize and categorize them. This very multidisciplinary work therefore comprises the setup of biological experiments, the generation of images in microscopy and the development and implementation methods allowing the analysis of those data. Besides the ICPR 2020 conference, her work has been presented at the IUPAC International Congress 2019, Ghent, Belgium.