Statistician, Data Scientist & NLP researcher.
I am a statistician and data scientist specializing in Natural Language Processing and AI, with a strong passion for using my knowledge to help us to better understand and quantify how societies communicate and evolve.
In my current research, I am focusing on analyzing political narratives - with a particular interest in how harmful discourse (including conspiracy theories) emerges, transforms, and spreads. My goal is to uncover patterns in the digital information flow and the forces shaping it by designing language models and applying them to corpora of news articles, political speeches or social media posts.
I aim to contribute research that helps to support a functional democracy. I am always interested in connecting with researchers, journalists, institutions, and organizations exploring the intersection of AI, politics, and society.
I design language models that make political and economic discourse measurable, then point them at news articles, parliamentary speeches and social media posts.
How conspiratorial narratives emerge, mutate and travel across platforms and what that says about the health of public debate.
Treating text as a moving target: rolling topic models, diachronic embeddings and semantic shift detection over years of text.
Extracting the stories economies tell about themselves, combining dynamic topic models with large language models.
Tracking how the Energiewende is argued about in parliaments and the press, and how those arguments shift over time.
Recent papers, talks and distinctions.
joint with Paul Grass
Libraries and corpora anyone can use.
The quickest way to reach me is by email. I am always glad to hear from researchers, journalists, institutions, companies, and organizations working at the intersection of AI, politics and society about a joint project, a guest lecture or workshop, a data-driven story, or a thesis topic.