Maxim Moinat

Scientific Researcher at IMI_EHDEN

Randstad, Netherlands
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Summary

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Maxim Moinat is a scientific researcher and data engineer with a decade of experience applying Python and R to large-scale biomedical and observational health datasets, specialising in ETL pipelines to the OMOP Common Data Model. Based at Erasmus MC and active across IMI consortia (EHDEN, PIONEER, EU-PEARL) and OHDSI, he blends hands-on conversion tooling and analytics with product ownership and community leadership—earning an OHDSI "Titan" for standards work. His academic foundation (cum laude degrees in Medical Natural Sciences and Bioinformatics & Systems Biology) underpins strengths in mathematical modelling, -omics, and reproducible research. He routinely translates clinical questions into operational OMOP workflows and trains partners on federated data platforms, enabling multicenter evidence generation. Less obvious: he pairs deep domain knowledge with practical software craft from earlier backend and simulation projects, making him equally comfortable in stochastic modelling code as in large collaborative infrastructure.
code10 years of coding experience
job8 years of employment as a software developer
bookBachelor, Medische Natuurwetenschappen, Cum Laude, Bachelor, Medische Natuurwetenschappen, Cum Laude at Vrije Universiteit Amsterdam
bookMaster, Bioinformatics and Systems Biology, Cum Laude, Master, Bioinformatics and Systems Biology, Cum Laude at Vrije Universiteit Amsterdam (VU Amsterdam)
bookVWO, NG&NT, International Baccalaureate, VWO, NG&NT, International Baccalaureate at Haarlemmermeerlyceum
languagesEnglish, Dutch, German, French
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Github Skills (114)

standardized10
mappings10
wearable-devices10
atlas10
sports-data10
katakana10
data-model10
pebble10
android-application10
database10
r-package10
romaji10
data-quality10
in-progress9
rendering9

Programming languages (14)

JavaC++MakefilePLpgSQLGoHTMLJupyter NotebookKotlin

Github contributions (5)

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MaximMoinat/Achilles

Aug 2016 - Feb 2023

Automated Characterization of Health Information at Large-scale Longitudinal Evidence Systems (ACHILLES) - descriptive statistics about a OMOP CDM v4 database
Contributions:7 pushes, 1 branch in 6 years 7 months
health-informationcharacterizationstatisticshealthscale
thehyve/OHDSI-WhiteRabbit

Nov 2017 - Jul 2022

WhiteRabbit is a small application that can be used to analyse the structure and contents of a database as preparation for designing an ETL. It comes with RabbitInAHat, an application for interactive design of an ETL to the OMOP Common Data Model with the help of the the scan report generated by White Rabbit.
Contributions:7 releases, 73 pushes, 87 branches in 4 years 9 months
databaseetl
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