Dominik Stammbach

Dominik Stammbach is a Postdoctoral Research Associate at Princeton University's Center for Information Technology Policy (CITP) and Polaris Lab, applying Natural Language Processing to enhance access to justice, detect climate misinformation, and combat corporate greenwashing through data-centric methodologies.

His educational background includes:

• Dr. Sc. in Computer Science, ETH Zurich (2024)
• Master's in Language Science and Technology, Saarland University, Germany

Stammbach's research pioneers NLP applications for societal impact, focusing on automated fact checking (evidence extraction from legal documents), AI tools for public defenders, and detection of climate denial narratives. He integrates high-quality data practices with transformer-based models to address real-world challenges in legal accessibility and environmental communication, emphasizing user-centered design through nationwide interviews with public defenders.

His publication trajectory reveals accelerating specialization in climate-NLP intersections and legal AI, with 2023-2024 works dominating his output. Key themes include knowledge-base optimization for fact verification, political bias mitigation in LLMs, and environmental claim detection—showcasing methodological rigor through ACL/EMNLP publications and interdisciplinary journal contributions.

Stammbach actively shapes research communities as organizer of ClimateNLP workshops (ACL 2024/2025) and keynote speaker at IEEE ICDM 2025, driving collaboration between NLP researchers and climate scientists while developing practical AI tools for public sector agencies.