I am a PhD candidate in Machine Learning (2015 – Present) working in collaboration with Dreem and in Image, Data Signal Department at Télécom ParisTech. I am supervised by Alexandre Gramfort and co-advised by Mathieu Galtier and Gilles Wainrib.

I am currently working at the Stanford University Sleep Center as a Visiting Student Research under Emmanuel Mignot’s supervision.

My work mainly focuses on processing EEG signals with deep learning algorithms and covers different aspects of machine learning such as transfer learning in general and domain adaptation as long as different tasks such as classification and event/object detection.

I graduated from TUM (2014-2016) and from École Polytechnique (2011-2014) were I developped a strong interest in mathematics and machine learning in particular.