Michele Bevilacqua is a Research Fellow and neuroengineer with a decade of experience translating advanced neuroimaging, neuromodulation, and BCI methods into clinical therapies for stroke and other neurological disorders. Currently at Harvard Medical School, he leads projects on home-based non-invasive brain stimulation and combines EEG, MRI, TMS/tACS, and psychophysics in closed-loop systems that target neuroplasticity and functional recovery. His background spans rigorous experimental design, hardware integration (EEG, EMG, neuronavigation, VR) and hands-on clinical studies from EPFL to industry, supervising students and steering publications and conference presentations. Former NLP researcher with stints at Facebook Research and Sapienza, he brings a rare mix of computational language curiosity and neurotechnology practice—often teaching machines about language while teaching brains to recover. Practical, patient-centered translation of cutting-edge neurotech into usable therapies for everyday life is his driving goal.
10 years of coding experience
5 years of employment as a software developer
M.Sc. in Life Sciences and Technology - Neuroengineering and Neurosciences, M.Sc. in Life Sciences and Technology - Neuroengineering and Neurosciences at Ecole polytechnique fédérale de Lausanne
B.Sc. in Bioengineering, Bioengineering, 110 L/110, B.Sc. in Bioengineering, Bioengineering, 110 L/110 at Politecnico di Milano
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