Emma Lacaille

Emma LACAILLE is a data engineer and analyst with a strong background in research and development, specializing in machine learning and artificial intelligence applications. Currently employed at SBB CFF FFS, Emma has previously worked at CSEM, where projects included facial landmark annotation for drowsiness detection in multi-view videos and the implementation of algorithms that leverage both temporal and spatial data aspects. Other notable experiences include data pseudonymization and speech recognition technologies at Capgemini Engineering, web development aimed at promoting sleep hygiene at IMT Mines Alès, and research on accelerometer data for stroke rehabilitation at CHU de Montpellier. Emma holds a Diplôme d'ingénieur from Ecole des Mines d'Alès and has a solid academic foundation in mathematics and physics from preparatory classes and a high school diploma with distinction.