Marcel Schilling is a data-driven co-founder and engineering-minded project leader with 10 years’ experience building data platforms and risk systems for financial services. Based in Barcelona with roots in Germany, he led the design and delivery of an integrated data warehouse for ~400 savings banks and brings hands-on expertise in databases, ETL, data modelling, microservices and risk analytics. He pairs that enterprise background with active technical contributions to open-source bioinformatics—improving Seurat’s core R toolkit for single-cell genomics by hardening progress reporting and algorithmic reproducibility. Marcel blends finance and technology fluency (MFin, international exposure in the US and Netherlands) with an uncommon cross-discipline perspective that spans regulatory banking systems to computational biology.
10 years of coding experience
7 years of employment as a software developer
Business Administration and Management, General, Business Administration and Management, General at California State University-Chico
Bachelor of Business Administration (BBA), International Business and Management, Part of Top 10% Students, Bachelor of Business Administration (BBA), International Business and Management, Part of Top 10% Students at Hogeschool van Amsterdam
School leaving examination, Economics, Completed as top student of the year, School leaving examination, Economics, Completed as top student of the year at Berufsbildende Schule 14 Hannover
Master of Finance (MFin), International Finance, Master of Finance (MFin), International Finance at The University of Glasgow
Contributions:6 commits, 8 PRs, 82 comments in 2 years 4 months
Contributions summary:Marcel's commits primarily focus on improving the Seurat R toolkit's functionality and maintainability. A significant portion of the changes involved refactoring and standardizing the output of progress messages, directing them to STDERR for better compatibility with tools like knitr. These changes impact several core functions within the Seurat package, enhancing how the toolkit interacts with various environments and external tools. The user also addressed specific issues like transforming data for single-cell identities in AverageExpression and using a random seed for the Leiden algorithm.
Contributions:10 commits, 10 PRs, 7 comments in 1 year 3 months
genomicsbioinformaticsrna-seq-datarna-seqseq
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Marcel Schilling - Co- Founder at Goldie Tech GmbH