Summary
Marc Schulder is a computational linguist and research associate with 11+ years of experience building data-driven NLP systems, currently developing computational methods for the DGS-Korpus to enable automatic classification and assisted annotation of German Sign Language. He completed a PhD on bootstrapping lexica for sentiment polarity shifters and has applied his expertise across sentiment analysis, metaphor detection, and context-aware speech recognition, including an industry stint at Google. Comfortable coding in Python and authoring research in LaTeX, he also maintains practical tooling such as BibTexNanny to streamline scholarly workflows. Based in the Greater Hamburg area, Marc combines strong academic grounding with hands-on implementation of FSTs, grammar design, and annotation tooling to bridge linguistic theory and applied engineering.
11 years of coding experience
9 years of employment as a software developer
ERASMUS student exchange, Computational Linguistics, ERASMUS student exchange, Computational Linguistics at The University of Edinburgh
Doctor of Philosophy (PhD), Computational Linguistics, Doctor of Philosophy (PhD), Computational Linguistics at Universität des Saarlandes
German, English, german sign language