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I am a research scientist at Valeo.ai, working in deep learning for automotive applications.

Before joining Valeo, I was a postdoctoral researcher at Inria’s MIND team (previously known as the Parietal team), working in deep learning and neuroscience under the supervision of Thomas Moreau and Alexandre Gramfort. My main research topic then was automatic data augmentation, that is, learning optimal data augmentations directly from datasets. I was mostly interested in applications for which data augmentations are not intuitive, such as electroencephalography (brain electrical signals), using it as a tool to better understand how some types of information (such as sleep stages) are encoded within neurological signals. With time, my work got closer to the geometric deep learning field, as it mostly revolved around the idea of learning and exploiting data symmetries (invariances and equivariances) to make neural networks more data efficient and robust to domain changes.

Previously, I was the scientific and engineering leader of the AI team at Ava, working in speaker recognition technology for deaf and hard-of-hearing accessibility. Me and my team were then mainly focused on real-time speaker recognition and diarization with multiple microphones, which involved works in zero-shot learning, metric learning and neural architectures for speech processing.

I obtained my PhD in applied mathematics at Ecole Polytechnique (CMAP) and INRIA, under the supervision of Frédéric Bonnans and Pierre Martinon. My work lied in the intersection between optimal control, machine learning and optimization. My main interest was to learn interpretable and physically plausible models of dynamical systems, and how to optimally control them taking model uncertainty into account. My thesis was funded by the aviation start up Safety Line and the main application of my work was the optimization of real aircraft trajectories for fuel consumption reduction. My algorithms integrated the product OptiClimb, which is currently used daily to compute fuel efficient flights all over the globe by companies such as AirFrance.

Before my PhD thesis I studied at MINES ParisTech where I obtained a MSc. in engineering and applied mathematics.

Current research interests

(non-exhaustive)

Reviewer

Teaching

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