Observed arrival · 2026-09-04
Ettore Magni’s Biomedical Engineering Portfolio
A research portfolio covering biosignals, neurotechnology, reinforcement learning, and machine learning for rehabilitation.
Field notes
The portfolio presents biosignal research through compact project cards rather than generic role descriptions. EMG-GPT is specified as a causal Transformer using residual-quantized wrist EMG, with 16 channels sampled at 2 kHz and a displayed 12.8° new-user mean absolute error. The experience section also records preprocessing and atlas mapping for 1,024-channel invasive electrophysiology recordings, alongside research on wearable EEG sleep staging and rehabilitation feedback.
Observed signals
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Editorial observations of this landing page, not a rating.
One card from the complete issue