Michele Bevilacqua
Research Scientist at Google DeepMind
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolMichele 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
6 years of employment as a software developer
Visiting Student Ancient Greek Linguisitics, Visiting Student Ancient Greek Linguisitics at Heidelberg UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Sapienza Università di Roma
Github Skills (37)
machine-translation10
named-entity-recognition10
in-progress10
machine-learning10
language-processing10
datasets10
word-sense-disambiguation10
implicit10
natural-language-processing10
disambiguation10
nlp10
stanza9
latin9
bert9
wordnet9
Programming languages (4)
Github contributions (5)
mbevila/mbevila.github.io
May 2019 - Feb 2024
:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
Contributions:40 pushes, 2 branches in 4 years 10 months
simple-websitebeautiful-jekylljekylljekyll-thememinutes
SapienzaNLP/ewiser
May 2020 - Sep 2021
A Word Sense Disambiguation system integrating implicit and explicit external knowledge.
Contributions:1 review, 23 commits, 1 PR in 1 year 4 months
nlpimplicitldaword-embeddingsknowledge
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