Michele Gubian
Senior Research Associate
Greater Bristol Area, United Kingdom
Summary
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Senior🎓
Top SchoolMichele Gubian is an electrical engineer and Senior Research Associate with 12 years’ experience applying machine learning and signal processing to speech and cognitive science. He pioneered the adaptation and popularisation of Functional Data Analysis for intonation and prosody, turning theoretical methods into practical, user-friendly software used in peer-reviewed research. Comfortable with messy, manually annotated data, he architects flexible, agnostic GUIs and asynchronous integrations—exemplified by his easyNet simulator that exposes both simplified workflows for novices and expert panels and consoles for power users. He has a strong track record of interdisciplinary teaching, training linguists in advanced maths and tooling, and has repeatedly bootstrapped novel ideas (e.g., temporally grounded similarity for early word acquisition) into working computational models. Based in Greater Bristol, Michele combines deep research credentials (PhD in Machine Learning) with hands-on software development that bridges academia and usable research tools.
12 years of coding experience
PhD, Machine Learning, PhD, Machine Learning at ICT Doctorate School, University of Trento, ItalyME Telecommunication Engineering, Signal Processing, ME Telecommunication Engineering, Signal Processing at Politecnico di Milano, Italy
Italian, English, Dutch, Russian
Github Skills (29)
prosody10
realms10
phonetics10
zeplin10
r9
pca9
parser9
dplyr9
data-transformation9
grammar9
data-manipulation8
manipulation8
polars8
spss8
duckdb7
Programming languages (4)
Github contributions (5)
uasolo/lazyNutGUI
Jan 2015 - Dec 2016
Contributions:225 pushes, 4 branches, 3 issues in 1 year 11 months
uasolo/FDA-DH
Dec 2013 - Apr 2016
Contributions:17 commits, 5 pushes in 2 years 4 months
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