Resume
Academic Achievements
- - Won a Kaggle competition on taxi destination prediction as part of team 🚕 with Alex Auvolat and Alexandre de Brébisson.
Research Experience
- - Completed an end-of-master internship at Facebook AI Research in Paris, working on Neural Machine Translation with Memory Networks.
- - Released an open-source implementation of Deep Mind's Hermann et al. paper 'Teaching Machines to Read and Comprehend' with Alex Auvolat and Thomas Mesnard.
Education
- Received a PhD in machine learning from Sorbonne University (Paris).
Background
- Research interests include natural language processing and information extraction using deep learning. Currently a postdoc at LTG in Oslo, working on event extraction and compositionality.
Miscellany
- Organizes some reading groups with other members of the MLIA team, completed Bishop's 'Pattern Recognition and Machine Learning', and will start Wainwright's 'High-Dimensional Statistics' soon.