Guillaume Bellec
Assistant Professor at Technische Universität Wien
Austria
Summary
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Senior🎓
Top SchoolGuillaume Bellec is an assistant professor and computational neuroscientist with a decade of experience building theories that bridge biologically realistic neural networks and modern machine learning. Trained in machine learning at ENS Paris-Saclay and holding a PhD from TU Graz, he has produced work published in NeurIPS, ICLR and Nature Communications demonstrating that competitive AI can emerge from simple, biologically grounded models. After a postdoc at EPFL’s Laboratory of Computational Neuroscience, he joined TU Wien’s Machine Learning Research Unit to pursue research and teaching at the intersection of theory and application. He co-created Chord ai, a real-time chord recognition app that brought state-of-the-art deep learning to power-limited mobile devices and now serves over 100,000 monthly users, reflecting his interest in turning theory into usable tools for musicians. Known for blending rigorous theoretical work with practical deployments, he also has hands-on experience lecturing machine learning during his PhD and shipping production-grade mobile AI.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Machine learning, Master of Science - MS, Machine learning at École normale supérieure Paris-SaclayMathematics and Computer Science, Mathematics and Computer Science at ENSTA Paris
Github Skills (28)
python10
machine-learning10
deep-learning10
gpu10
numpy9
tensorflow9
neural-network9
gpu-acceleration8
autograd8
deep-neural-networks8
acceleration8
ml8
tensor8
data-science8
bioinformatics4
Programming languages (4)
Github contributions (5)
guillaumeBellec/guillaumeBellec.github.io
Feb 2018 - Nov 2022
Contributions:170 commits, 154 pushes in 4 years 10 months
guillaumeBellec/deep_rewiring
Jan 2018 - Dec 2018
Contributions:18 commits, 14 pushes, 1 branch in 11 months
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