I am a postdoctoral research associate at the CITP at Princeton University. I am currently working on legal NLP with Peter Henderson. Prior to that, I obtained my Dr. Sc. in Spring 2024 at ETH Zurich for my thesis about data-centric automated fact checking where I was supervised by Elliott Ash and Mrinmaya Sachan.
My research interests are in applied NLP, legal NLP, and to develop NLP methods which can be applied in the context of misinformation, online safety and the intersection NLP and climate change. Among others, I am investigating how to detect company greenwashing at scale, the practice of companies making generic, misleading or false claims to boost their environmental credentials.
Doctoral thesis: Towards Data-Centric Automated Fact Checking
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)
The Choice of Textual Knowledge Base in Automated Claim Checking, with Boya Zhang and Elliott Ash (ACM Journal of Data and Information Quality, 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)
e-FEVER: Explanations and Summaries for Automated Fact Checking, with Elliott Ash (Truth and Trust Online, 2020)
Exploiting Evidence Enhancement for the FEVER Shared Task, with Günter Neumann (Second Workshop on Fact Extraction and VERification, 2019)