Researcher (Wissenschaftlicher Mitarbeiter) at Leipzig University
Leipzig, Saxony, Germany
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Summary
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Lucas Lange is a researcher and PhD candidate in computer science at Leipzig University with nine years of experience at the intersection of data science, machine learning, and privacy. He conducts and supervises courses in databases and data science while pursuing research on privacy-preserving data analysis, applying agile prototyping to validate hypotheses quickly. Associated with ScaDS.AI and with prior industry experience building linked-data tools and SHACL-based visual editors, he blends academic rigor with practical engineering. Colleagues value his drive for diverse knowledge exchange and his knack for translating complex privacy concepts into reproducible experiments and teaching material.
9 years of coding experience
1 year of employment as a software developer
Erasmus+, Master of Science - MS, Computer Science, Erasmus+, Master of Science - MS, Computer Science at Université Grenoble Alpes
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Leipzig University
Argument retrieval model for [Touché @ CLEF 2020] - 1st Shared Task on Argument Retrieval
Contributions:157 commits, 19 PRs, 140 pushes in 2 years 2 months
pytorchdphretrieval-modeltouchsentiment-analysis
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Lucas Lange - Researcher (Wissenschaftlicher Mitarbeiter) at Leipzig University