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Curriculum Vitae
Work
2024 – now
Research Scientist
Kyutai Labs · Paris, France 🇫🇷
Open Science AI lab — working on multimodal foundation models (vision, speech and text).
2021 – 2024
Deep Learning Research Engineer
Qualcomm AI Research · Amsterdam, Netherlands 🇳🇱
Neural network efficiency — conditional compute, dynamic sparsity, mixture-of-experts.
Education
2015 – 2020
PhD — Machine Learning & Computer Vision
IST Austria · Klosterneuburg, Austria 🇦🇹
Supervised by Prof. Christoph Lampert — Domain adaptation, object detection, transfer learning.
2012 – 2015
Masters + Bachelors in Computer Science
ENS Rennes · Rennes, France 🇫🇷
Specialization in Machine Learning and Computer Science.
2010 – 2012
CPGE (MPSI-MP*)
Lycée Clémenceau · Reims, France 🇫🇷
Research Internships
2020
Google Brain · Zürich, Switzerland 🇨🇭
Knowledge distillation for large neural networks. arxiv:2106.05237 →
2017
Google Brain · London, UK 🇬🇧
Unsupervised image-to-image translation, GANs and domain adaptation. arxiv:1711.05139 →
2015
Inria Rennes · Rennes, France 🇫🇷
Unsupervised clustering for text and audio.
2014
IST Austria · Klosterneuburg, Austria 🇦🇹
Adapting pre-trained classifiers to unknown test distributions.
2013
Inria Rennes · Rennes, France 🇫🇷
Video retrieval using circular Fourier transforms.
Selected Publications
Skills
Programming
PythonC++OCamlC
Deep Learning
PyTorchJAXTensorFlowKeras
Tools
gitSLURMmatplotlibstreamlitLaTeX
Languages
French 🇫🇷 (native) English 🇬🇧 (fluent) German 🇩🇪 (advanced)