Summary
Anne Lauscher is a Full Professor of Trustworthy Artificial Intelligence and former Associate Professor of Data Science at the University of Hamburg, bringing nine years of research and industry-collaborative experience in conversational and ethical AI. Her work blends representation learning, computational argumentation, and demographic-aware NLP to improve fairness, inclusivity, and sustainability in automated communication systems. A summa cum laude PhD from the University of Mannheim and postdoctoral work at Bocconi underpin a publication record in top-tier NLP/AI venues and several awards recognizing impact in AI ethics. She has combined academic rigor with industry-facing roles at Grammarly and the Allen Institute, translating research into practical improvements for real-world language technologies. Notably, her projects probe how demographic factors shape model behavior—a less obvious throughline that informs both algorithmic performance and fairness interventions. She is a member of ELLIS and regularly mentors cross-sector collaborations that bridge theory, deployment, and responsible innovation.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.Sc.), Business Information Technology, Bachelor of Science (B.Sc.), Business Information Technology at Baden-Wuerttemberg Cooperative State University (DHBW)
Summer School: Big Data, Summer School: Big Data at Ontario Tech University
Doctor of Philosophy (PhD), Natural Language Processing, Doctor of Philosophy (PhD), Natural Language Processing at University of Mannheim
Lisbon Machine Learning Summer School, Lisbon Machine Learning Summer School at Instituto Superior Técnico
German, English, French, Latin