Founder And Director Of Technology at Data and Research Center
Berlin, Germany
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Summary
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Simon Wörpel is a founder and technology director with 11 years' experience blending investigative journalism and backend engineering to empower data-driven reporting. Trained in journalism and political economy, he spent years as an investigative data journalist at CORRECTIV before moving into fellowships and founding the Data and Research Center to build infrastructure for investigative teams. He contributes to open-source projects like Aleph (improving resilience and logging) and a PubMed parser (adding COI extraction), reflecting a focus on reliable data pipelines and reproducible research. Based in Berlin, he designs systems that make large document collections and complex datasets searchable and auditable—an unusual mix of newsroom instincts and backend pragmatism.
11 years of coding experience
Political Economy, Political Economy at University of Cologne
Journalism, Journalism at Kölner Journalistenschule
Search and browse documents and data; find the people and companies you look for.
Role in this project:
Back-end Developer
Contributions:25 commits, 11 PRs, 8 pushes in 2 years 2 months
Contributions summary:Simon primarily focused on improving the logging configuration and resilience of the aleph application. They made changes to allow for configurable log levels and formats via environment variables. Additionally, the user refactored code to enhance the reliability of document conversion processes, incorporating retry mechanisms to handle potential errors. They also updated the entity set model.
:clipboard: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset
Role in this project:
Back-end Developer
Contributions:6 commits, 1 PR, 4 comments in 1 month
Contributions summary:Simon primarily focused on enhancing the functionality of the PubMed parser. Their contributions included the addition of conflict of interest (COI) parsing capabilities, extracting relevant data from XML files. They implemented new features for parsing COI statements, improved existing parsing methods, and included related tests. The commits demonstrate a focus on improving the accuracy and completeness of the parser.
medline-xmlpythonopen-accessparserclipboard
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