Bas Jansen
Senior Data Scientist
The Hague, South Holland, Netherlands
Summary
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Senior🎓
Top SchoolBas Jansen is a Senior Data Scientist with 11 years of experience specializing in AI for healthcare and life sciences, focused on trustworthy, explainable, and regulatory-compliant solutions that improve patient outcomes. He has led research and product efforts as Head of Life Sciences at Omina Technologies and now brings MLOps-driven reproducibility and deployment expertise to regulatory analytics at the Netherlands Authority for Consumers and Markets. His background spans hands-on bioinformatics and biomarker discovery—authoring open-source tools during his PhD—and practical machine learning engineering across multiomics and clinical use cases. A sought-after speaker and panelist on transitioning from reactive population health to proactive, personalized care, he combines technical depth with policy and adoption insight from engagements including the Belgian Economic Mission to the USA. Notably, he pairs domain fluency in glycomics and bioanalysis with modern DevOps practices (Docker, Kubernetes, Poetry) to bridge research, production, and compliance.
11 years of coding experience
10 years of employment as a software developer
BSc, Biology, BSc, Biology at Leiden UniversityMSc, Life Sciences, MSc, Life Sciences at University of AmsterdamBachelor, IT, Bachelor, IT at De Haagse Hogeschool / The Hague University of Applied Sciences
English, Dutch, German, French, Spanish
Stackoverflow
3,323reputation
399kreached
41answers
83questions
Github Skills (62)
extraction10
throughput10
data-extraction10
matplotlib9
qt9
feature-extraction9
ms-data9
python9
gtk9
data-visualization8
gpu8
visualization8
data-science8
dataframes7
conda7
Programming languages (3)
Github contributions (5)
Tarskin/HappyTools
Mar 2017 - Feb 2022
A tool for the (high-throughput) processing of HPLC data.
Contributions:1 release, 182 commits, 7 PRs in 4 years 11 months
gpuhigh-throughputhplcthroughput
Tarskin/LaCyTools
Sep 2015 - Apr 2022
A high-throughput data extraction package for LC-MS data.
Contributions:3 releases, 91 commits, 6 PRs in 6 years 8 months
lc-msextractionpythondataframesdata-analysis
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