Dr. Anne Lauscher

Associate Professor

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Biography

Anne Lauscher is an Associate Professor of Data Science at the University of Hamburg. Her research group investigates Conversational Artificial Intelligence (AI) systems, focusing on fair, inclusive, and sustainable communication. The professorship is funded through the Excellence Initiative by the German federation of federal states. Anne has previously worked as a Postdoctoral Researcher in the Natural Language Processing group at Bocconi University in Milan, Italy, where her efforts included introducing demographic factors into language processing systems to improve algorithmic performance and system fairness. She obtained her Ph.D. from the Data Web Science group at the University of Mannheim, where her research focused on the interplay between language representations and computational argumentation. Anne has collaborated with organizations such as Grammarly Inc. in New York City and the Allen Institute for Artificial Intelligence in Seattle. Her research is regularly published in top-tier venues for Natural Language Processing and Artificial Intelligence, receiving multiple awards including the Maria Gräfin von Linden Award for outstanding female researchers in the STEM fields.

Research Interests

Experience

Postdoctoral Researcher

— Present

Bocconi University • Milan, Italy

Worked in the Natural Language Processing group focusing on demographic factors in language processing systems.

Awards

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Maria Gräfin von Linden Award

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Dissertation Award Nominee

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100 Brilliant Women in AI Ethics

Requirements for University of Hamburg

Master Program
Requirements
GPA Requirement
Required:2.5
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
Prerequisites
Bachelor's degree in Computer Science or related field At least 60 ECTS in core computer science subjects
Application Checklist
  • Transcript of Records
  • Bachelor's degree certificate (or preliminary transcript)
  • Proof of English proficiency
  • Curriculum Vitae
  • Letter of Motivation
  • Module descriptions/table of 60 ECTS in CS
Specialization Notes

Includes tracks like Intelligent Adaptive Systems (IAS).