Daniele Marinazzo
Full Professor at Ghent University
Ghent, East Flanders, Belgium
Summary
👤
Senior🎓
Top SchoolDaniele Marinazzo is a full professor at Ghent University with a PhD in Physics and over nine years of focused experience at the intersection of statistical physics and computational neuroscience. He develops and optimizes methods for connectivity and dynamics analysis in electrophysiology, contributing performant implementations of PLV, ciPLV and wPLI in widely used tools like Brainstorm. His work spans methodological research, back-end development for EEG experiment frameworks, and editorial stewardship as a section editor at PLOS. Known for translating theoretical physics approaches into scalable computational tools, he has improved EEG experiment pipelines and reduced algorithmic complexity in neuroimaging software. Based in Ghent, he combines deep quantitative training with hands-on coding to bridge theory and reproducible neurodata analysis. An under-the-radar strength is his dual focus on code readability and performance, ensuring research tools are both fast and maintainable.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Università degli Studi di Bari
Stackoverflow
11reputation
2kreached
0answers
2questions
Github Skills (13)
electrophysiology10
matlab10
python10
psychopy10
data-structure9
scipy9
megaparsec9
algorithm9
data-structures9
algorithms9
sounds8
data-analysis7
indices6
Programming languages (10)
Github contributions (5)
NeuroTechX/EEG-ExPy
Dec 2020 - Mar 2022
EEG Experiments in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 reviews, 12 commits, 5 PRs in 1 year 3 months
Contributions summary:Daniele primarily focused on implementing and modifying auditory Steady-State Evoked Potential (SSAEP) experiments within the repository. Their contributions included adding new experiment implementations, modifying parameters, and integrating instruction screens. The user also addressed indentation issues, ensuring code readability and maintainability, while improving the experimental setup for EEG data acquisition.
data-analysispythonmachine-learningnotebooksjupyter
brainstorm-tools/brainstorm3
Jun 2021 - Jul 2022
Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
Role in this project:Back-end Developer
Back-end DeveloperContributions:5 reviews, 5 commits, 12 PRs in 1 year 1 month
Contributions summary:Daniele primarily focused on optimizing and improving the performance of connectivity algorithms within the Brainstorm software, specifically related to Phase Locking Value (PLV) calculations and related metrics such as ciPLV and wPLI. Their contributions involved implementing faster versions of these algorithms, addressing performance bottlenecks, and modifying code related to the Hilbert transform. They also introduced alternative implementations and optimized computations to reduce computational complexity, reflecting a strong focus on computational efficiency within the context of electrophysiology data analysis.
pythonmatlabseegcomputational-neurosciencefnirs
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