Carlos Carreiras
Founder, CTO & Lead Data Scientist
Lisbon, Lisbon, Portugal
Summary
👤
Senior🎓
Top SchoolCarlos Carreiras is a founder, CTO and lead data scientist with a decade of experience translating biomedical engineering research into commercial biosignal products. Based in Lisbon, he specializes in signal processing, pattern recognition and machine learning for ECG, EEG, BVP and EDA applications, founding CardioID Technologies to productize those skills. His background includes academic research on emotion identification and biometrics (contributing to Vitalidi and BITalino) and a Master’s thesis in Brain-Computer Interfaces, giving him deep domain expertise across both research and product engineering. An active contributor to BioSPPy, he has fixed signal-processing bugs and improved heart-rate and plotting routines—demonstrating practical open-source impact on widely used biosignal tooling. Colleagues describe him as a technically hands-on leader who bridges rigorous research with deployable algorithms.
10 years of coding experience
4 years of employment as a software developer
B2.1, B2.1 at Goethe Institut LissabonBiomedical Engineering (MSc), Biomedical Engineering (MSc) at Instituto Superior Técnico
Github Skills (6)
python10
data-science10
signal-processing10
eda9
scipy8
numpy8
Programming languages (3)
Github contributions (5)
PIA-Group/BioSPPy
Jul 2015 - Apr 2019
Biosignal Processing in Python
Role in this project:
Data Scientist
Data ScientistContributions:8 releases, 93 commits, 10 PRs in 3 years 9 months
Contributions summary:Carlos primarily contributed to bug fixes and improvements within the `biosppy` repository, specifically addressing issues related to signal processing algorithms. Their commits involved correcting filter parameters for Blood Volume Pulse (BVP) and Electrodermal Activity (EDA) signals, and improving methods related to heart rate calculations. Furthermore, the user made updates to incorporate new features in the biometrics module, and applied relevant code changes to plotting functionalities.
biosignaldtwpythonfeature-extractiondata-science
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