Postdoctoral Researcher at Ecole normale supérieure
Paris, Ile-de-France
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Summary
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Giorgia Cantisani is a postdoctoral researcher at École Normale Supérieure in Paris with nine years of experience at the intersection of signal processing, neurotechnology, and music perception. She earned a PhD from Télécom Paris developing neuro-steered music source separation algorithms and has applied those methods in both industry (InterDigital) and academia. Her work blends bioengineering foundations with advanced machine learning for speech and music perception, aiming to link neural responses to practical audio separation systems. Known for translating neuroscience insights into algorithmic solutions, she brings a rare combination of biomedical training and hands-on signal-processing expertise.
8 years of coding experience
Bachelor's degree, Bioengineering and Biomedical Engineering, 100/110, Bachelor's degree, Bioengineering and Biomedical Engineering, 100/110 at Università degli Studi di Padova
Science High School PNI "Evangelista Torricelli"
Doctor of Philosophy - PhD, Signal, Image, Automation and Robotics, Doctor of Philosophy - PhD, Signal, Image, Automation and Robotics at Télécom Paris
Master's degree, Bioengineering and Biomedical Engineering, 102/110, Master's degree, Bioengineering and Biomedical Engineering, 102/110 at Politecnico di Torino
use to get logitech steering wheel info to pygame for recording EEG during driving
Contributions:20 pushes in 1 year 1 month
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Giorgia Cantisani - Postdoctoral Researcher at Ecole normale supérieure