Apneal
Juliette MILLET is an experienced professional in data science and research, currently serving as the Head of Data Science and Lead Data Scientist at Apneal since August 2022. Previous roles include PhD candidate at Laboratoire de Linguistique Formelle from October 2018 to October 2022, and internships at Meta, Laboratoire de sciences cognitives et psycholinguistique, Eurofins NZ Laboratory Services Limited, and Dassault Systèmes. Juliette's academic qualifications include a Master 2 in Mathematics, Vision and Learning from École Normale Supérieure Paris-Saclay and a strong educational background from Ecole Nationale des Ponts et Chaussées and Lycée Louis Le Grand. Notable projects undertaken include developing optimization algorithms and tools for social media engagement, as well as research on urban agricultural adaptation.
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Apneal
We use deep learning to turn your smartphone sensors into a medical device. Cardio-respiratory events are scored automatically. Your physician can analyze your sleep with interpretable signals.