Research experience
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2022
Bordeaux
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PhD. research project
@ Mnemosyne - Inria/IMN/LaBRI
> Modelling Action-Perception Mechanisms for Vocal Gestures with Hierarchical Reservoirs Computational neuroscience research project, aiming at modelizing vocal perception and production in songbirds, and eventually in humans. |
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2020
Bordeaux
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Research internship
@ Mnemosyne - Inria/IMN/LaBRI
> ML based automated annotation pipeline for bird songs Development of an automatic birdsong annotation pipeline using machine learning tools (Reservoir Computing). |
Engineering experience
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2020
Bordeaux
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Research engineer
@ Mnemosyne - Inria/IMN/LaBRI
> Open source software development for Reservoir Computing Development of reservoirpy, a Python library aimed at providing standardized Reservoir Computing tools. Software architecture, development, tests, documentation, deployment, public outreach (presentations, tutorials and scientific papers.) |
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2019
Bordeaux
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Engineering internship
@ Wiidii
> Building NLP tools for a multipurpose chatbot NLP models (BERT, Flair) fine-tuning for intent categorization and named entity recognition (NER). Model serving within company micro-service architecture. |
Software and projects
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reservoirpy
> A simple and flexible code for Reservoir Computing architectures like Echo State Networks. GITHUB DOC PYPI |
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canapy
> Automatic audio annotation tools for animal vocalizations. GITHUB |
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canarygan
> A Pytorch+Lightning reimplementation of Pagliarini et al. (2021): a generative model to explore songbirds vocal production capabilities. GITHUB |
Education
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2020
Talence
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Master degree - "Diplôme d'ingénieur"
@ École Nationale Supérieure de Cognitique (ENSC)
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2017
Toulouse
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"Classes préparatoires aux grandes écoles"
@ Toulouse INP
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Teaching
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2021
Talence
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Teaching assistant
@ ENSC/ENSEIRB-MATMECA
> Timeseries analysis and modelization Master II students. Theoretical and practical courses. Timeseries decomposition and modelization, auto-regressive and state-space models basics, recurrent neural networks. |
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2021
Talence
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Teaching assistant
@ École Nationale Supérieure de Cognitique (ENSC)
> Machine Learning Master I students. Practical courses. Supervised and unsupervised learning methods basics, ML-powered data analysis, deep learning basics. |