Maxim Moinat

Data Engineer specialised in OHDSI

Maxim has a Master's degree in Bioinformatics and Systems Biology from the Vrije Universiteit. He joined The Hyve in March 2016 as a Data Engineer. His professional passion is improving messy data and creating pipelines to make them slightly less messy. This passion started with sports data but is now entirely focused on observational health data. He led multiple conversion projects at The Hyve, enabling large-scale evidence generation from observational medical data sources, using reproducible and reliable methods.

He currently works as a Scientific Researcher in the Medical Informatics department of the Erasmus University Medical Center (Erasmus MC). His focus areas include implementing OHDSI standardized analytics in the hospital and identifying gaps in the analysis using the OMOP CDM compared to a traditional observational research workflow. In his role at Erasmus MC, he focuses on the data partner coordination in the DARWIN EU® project and the OMOP-based patient matching in clinical trials for the IMI EU-PEARL project.

When he gets a chance to leave his laptop, he collects his own data with some high-intensity running or cycling ("if it isn't on Strava, it didn't happen"). Maxim's top event each year is competing in the Utrecht Singelloop (5km/10km), closely followed by attending the Washington OHDSI symposium.

Connect on LinkedIn