leads the MCML Junior Research Group ‘Human-Centered NLP’ at LMU Munich.
His team’s research covers the intersection of machine learning, natural language processing (NLP) and human-computer interaction. Human factors have a crucial interplay with modern AI and NLP development, from the way data is obtained, e.g. in low-resource scenarios, to the need to understand and control models, e.g. through global explainability methods. AI technology also does not exist in a vacuum but must be validated together with the application experts and stakeholders it should serve. The group explores these questions from different perspectives, taking the lense of machine learning, natural language processing and human-computer interaction. By embracing these diverse perspectives, the researcher value how each viewpoint enriches the understanding of the same issues and how different skill sets complement one another.
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2024-12-27 - Last modified: 2024-12-27