Charly Lamothe
Postdoctoral Researcher at Institut Pasteur
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolCharly Lamothe is a postdoctoral researcher in auditory neuroscience at the Pasteur Institute with nine years of interdisciplinary experience bridging computational modeling, machine learning and neurophysiology. His PhD work investigated how vocal signals map onto auditory cortical representations from both computational and evolutionary perspectives, and he now studies transformations of population sound representations across the auditory system. Trained in computer science and AI with hands-on internships in embedded systems and PKI, he brings strong software and algorithmic skills to experimental neuroscience. Based in Paris, he combines rigorous quantitative methods with practical teaching experience and a knack for translating complex neural data into interpretable models.
9 years of coding experience
Two year's degree, Computer Science, Two year's degree, Computer Science at Lycée Thomas Edison de LorguesDoctor of Philosophy - PhD, Neurosciences, Doctor of Philosophy - PhD, Neurosciences at Aix-Marseille UniversityProfessional Licence degree SARI - Systèmes Automatisés et Réseaux Industriels, Embedded Computing, With high honours, Professional Licence degree SARI - Systèmes Automatisés et Réseaux Industriels, Embedded Computing, With high honours at Université de Toulon
French, English
Github Skills (19)
pytorch10
speech10
aion9
forum8
similarity6
python5
glpk4
stock3
security2
application-server2
client-server2
bitcoin1
lightning1
lightning-network1
filtering1
Programming languages (5)
Github contributions (5)
swasun/LibUnknownEcho
Mar 2018 - Mar 2019
Contributions:2 PRs, 171 pushes, 29 branches in 1 year 1 month
securesecurityclient-serverexchangesapplication-server
swasun/VQ-VAE-Speech
Feb 2019 - Jul 2019
PyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]
Contributions:183 commits, 102 pushes, 11 branches in 4 months
pytorchwavenetvq-vaepytorch-implementationvae
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