Amal is focused on the application of deep learning techniques to efficiently solve real-world problems. Prior to joining Invision she worked at Netatmo developing deep learning algorithms for smart cameras, leading the development of efficient face recognition models. Amal reduce inference time on the camera CPU by 50% and enhanced the performance of face verification by 6%. She also worked on several research projects such as deep ensemble learning and fairness in face recognition.
Amal earned a B.S. in Computer Science and Statistics from Ecole Polytechnique de Tunisie and an M.S. in Computer Science and Machine Learning from University Paris Dauphine. During her masters she worked at IBM France developing a dynamic dashboard to monitor support team’s activity. Post graduation Amal joined the IBM Watson team where she work on the implementation of NLP-based applications (virtual assistant, email-analyzer).
Outside work, Amal enjoys hiking and sports, most recently taking up yoga and kickboxing. She also enjoys concerts and theater.