About me

I am a postdoctoral research associate at the Center for Information Technology Policy (CITP) and the Polaris Lab at Princeton University. I received my Dr. Sc. in Spring 2024 from ETH Zurich for my dissertation on on data-centric automated fact-checking.

My current research centers on legal NLP and AI to support public defenders and improve access to justice. We are developing AI tools to provide computational assistance for public defenders and make their work more effective. In parallel, we are conducting interviews with public defenders across the US to understand their perspectives on AI. Our goal is to identify opportunities and challenges around AI and its implications on the day-to-day work of public defenders, and especially what would be good use cases to develop AI tools for.

More broadly, my research aims to develop NLP and AI that serve public agencies and strengthen the public sector.

Current Projects

Legal search for public defenders
Qualitative interview study on Public Defenders’ Perspectives on AI Adoption: Link to draft (with Inyoung Cheong, Patty Liu and Peter Henderson)

Research (Selected Publications)

Aligning Large Language Models with Diverse Political Viewpoints, with Philine Widmer, Eunjung Cho, Caglar Gulcehre and Elliott Ash, EMNLP 2024
Environmental Claim Detection, with Nicolas Webersinke, Julia Bingler, Mathias Kraus and Markus Leippold (ACL 2023)
Revisiting Automated Topic Model Evaluation with Large Language Models, with Vilém Zouhar, Alexander Hoyle, Mrinmaya Sachan and Elliott Ash (EMNLP 2023)
Heroes, Villains, and Victims, and GPT-3: Automated Extraction of Character Roles Without Training Data , with Maria Antoniak and Elliott Ash (4th Workshop of Narrative Understanding, 2022)
Evidence Selection as a Token-Level Prediction Task (Fourth Workshop on Fact Extraction and VERification, 2021)

Involved in the following events

Keynote speaker at the First International Workshop on Data Mining and AI for Law @ IEEE ICDM2025
Organizer of ClimateNLP 2025: Organizing the 2nd Natural Language Processing meets Climate Change Workshop collocated with ACL 2025
Organizer of ClimateNLP 2024: Organizing a Workshop collocated with ACL 2024 on Natural Language Processing meets Climate Change
Program co-chair of Sustainable Transition with AI:
Organizer of Accelerating Climate Change Action through Machine Learning: Organized a track in the Conference program at AMLD EPFL on March 25 and 26, 2024
Organizer of Hackathon at Latsis Symposium 2023: Organized the hackathon during the “Tackling Online Hate Speech and Strengthening Public Discourse” Symposium at ETH Zurich

Work I contributed to (selected publications)

A Multimodal Benchmark for Framing of Oil & Gas Advertising and Potential Greenwashing Detection, Gaku Morio, Harri Rowlands, Dominik Stammbach, Christopher D. Manning, Peter Henderson, forthcoming NeurIPS 2025 Datasets & Benchmarks Track, 2025
Automated fact-checking of climate claims with large language models, Markus Leippold, Saeid Ashraf Vaghefi, Dominik Stammbach et al., npj Climate Action, 2025
Translating Legalese: Enhancing Public Understanding of Court Opinions with Legal Summarizers, Elliott Ash, Aniket Kesari, Suresh Naidu, Lena Song, Dominik Stammbach, CS Law, 2024
LePaRD: A Large-Scale Dataset of Judicial Citations to Precedent, Robert Mahari, Dominik Stammbach, Elliott Ash, Alex Pentland, ACL 2024
ChatClimate: Grounding conversational AI in climate science, Saeid Ashraf Vaghefi, Dominik Stammbach et al., Communications Earth & Environment, 2023
The Law and NLP: Bridging Disciplinary Disconnects, Robert Mahari, Dominik Stammbach, Elliott Ash, Alex Pentland, Findings EMNLP 2023