Yuning Ding
Researcher at IPN - Leibniz Institute for Science and Mathematics Education
Dusseldorf, North Rhine-Westphalia, Germany
Summary
👤
Senior🎓
Top SchoolYuning Ding is a researcher and applied NLP engineer with nine years of experience building educational language-technology systems and production Java services. She has led doctoral and postdoc work on automatic essay scoring, cohesion measurement, and feedback generation, including a DAAD-supported visiting scholarship at ETS and current research at the Leibniz IPN. Her background spans both research labs and industry—developing ML pipelines and text-embedding solutions at Bayer and Java systems at IT.NRW—so she bridges rigorous evaluation with pragmatic engineering. Fluent in Chinese NLP and educational applications, she combines cognitive-science training with hands-on tool development in DKPro, SpaCy, and embedding workflows. Based in Düsseldorf, Yuning is known for turning linguistic insight into reproducible scoring tools and for an unusual blend of baking-level attention to detail applied to code quality.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Arts - BA Communication General, Bachelor of Arts - BA Communication General at University of International RelationsMaster of Science - MS Applied Cognitive and Media Science, Master of Science - MS Applied Cognitive and Media Science at University of Duisburg-EssenDeutsch, Deutsch at F+U Academy of Languages
Chinese, German, English
Github Skills (12)
multiplication2
cython2
linear-algebra2
matrix-multiplication2
matrix2
openblas1
python1
blas1
ndarray1
self-contained1
numpy1
neural-network1
Programming languages (2)
Github contributions (5)
yuningDING/Prompt-in-Argument-Identification
May 2022 - May 2023
Contributions:11 pushes, 1 branch, 1 comment in 1 year
yuningDING/MasterArbeit_TextGeneration
Apr 2019 - Sep 2019
Contributions:17 pushes, 1 branch in 5 months
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