Marcel Bollmann is an associate professor and computational linguist with 11 years of experience researching NLP and machine learning for challenging scenarios such as under-resourced languages, multilinguality, and historical documents. He combines deep linguistics training (PhD, summa cum laude) with practical software skills—Python expertise, web development tinkering and growing Rust interest—to produce linguistically informed NLP solutions. Marcel has held research and faculty roles across European universities and brings production-minded engineering to research, exemplified by infrastructure and DevOps contributions to the widely used ACL Anthology project. He focuses on widening access to NLP technologies across diverse languages and text genres, pairing theoretical rigor with reproducible, well-engineered tooling.
11 years of coding experience
10 years of employment as a software developer
Doktor (Ph.D.), Computerlinguistik, summa cum laude, Doktor (Ph.D.), Computerlinguistik, summa cum laude at Ruhr-Universität Bochum
Contributions:140 reviews, 62 commits, 224 PRs in 3 years 1 month
Contributions summary:Marcel's contributions primarily involved enhancing the project's infrastructure and codebase. This included refactoring code formatting with black, adding pre-commit hooks, and implementing targets for automated code checks and fixes. The user also introduced a new ID format, modified Hugo templates, and updated scripts for attachment and revision handling. Additionally, they added scripts to verify checksums and server file lists, improving the project's reliability.
Contributions:5 releases, 34 PRs, 105 pushes in 7 months
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