Julien Dubiel
Technical Lead at Theodo GovTech
France
Summary
👤
Senior🎓
Top SchoolJulien Dubiel is a Technical Lead with 11 years in software engineering and over eight years focused on healthcare platforms, currently shaping GovTech projects in France. He has led teams up to nine engineers at AP-HP, driving API FHIR, Cohort360, and a hospital-scale Health Data Platform with attention to interoperability, ISO 9001 processes and legal compliance. A hands-on architect, he built real-time ECG analysis pipelines, a scalable FHIR-on-OMOP stack and JupyterHub-based analytics environments, and contributed ECG signal-processing code to the wfdb-python open-source library. Julien balances delivery and product strategy—roadmaps, KPIs and cross-team tooling—while keeping a pulse on developer-assist AI and industrialisation practices. He also has practical systems experience from GPU/Hadoop orchestration to on-site network and video-surveillance deployments, reflecting an unusual blend of clinical-data engineering and operational pragmatism. Fluent in French and rooted in the Paris health ecosystem, he combines research collaborations (MIT) with public-sector impact and conference speaking on health data interoperability.
11 years of coding experience
5 years of employment as a software developer
Master's Degree Ingénierie informatique, Master's Degree Ingénierie informatique at EPITA: Ecole d'Ingénieurs en InformatiqueBaccalauréat Sciences, Baccalauréat Sciences at Lycée Saint Thomas d'AquinPermis de conduire, Permis de conduire at Scool Conduite Paris 16
English, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
algorithm10
algorithms10
python10
ekg10
numpy10
signal-processing9
data-analysis9
Programming languages (14)
Github contributions (5)
MIT-LCP/wfdb-python
May 2017 - Feb 2018
Native Python WFDB package
Role in this project:
Backend Developer
Backend DeveloperContributions:18 commits, 1 PR, 19 pushes in 8 months
Contributions summary:Julien primarily contributed to the `wfdb-python` library by implementing and refining ECG processing algorithms. They added the GQRS algorithm for peak detection and a peak corrector, integrating new functionality into the `wfdb.processing` module. Furthermore, the user implemented resampling and normalization functionality and added documentation. These changes enhance the library's capabilities for analyzing and processing ECG signals.
ekgsignaldtwpythondigital-signal-processing
Dubrzr/NG-Notifier
Feb 2015 - Jun 2019
A News Reader as a webapp', bundled with a system for frequent checks of news, and a notifier system using mails, push notifications & pushbullet. Android and iOS apps available!
Contributions:142 commits, 120 pushes, 3 comments in 4 years 4 months
pushmailsfrequentnews-readerpush-notifications
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