| Isabelle Augenstein | |
| Fields: | Natural language processing |
| Alma Mater: | Heidelberg University University of Sheffield |
Isabelle Augenstein is a computer scientist working in the field of natural language processing. She is currently a full professor and head of the NLP section at the Department of Computer Science, University of Copenhagen. She is also a co-lead at the Pioneer Centre for Artificial Intelligence,[1] Denmark's largest research centre initiated by the Danish Ministry of Higher Education and Science.[2] She is well known for being appointed the youngest female full professor in Denmark[3] [4] and for her work on detecting gender bias, fact-checking, and stance detection using computational methods.
Isabelle Augenstein grew up in South-West Germany, attending gymnasium in Pforzheim, a city between Stuttgart and Karlsruhe. She did her undergraduate studies in Computational Linguistics and Psychology at Heidelberg University.[5] She earned a Master of Arts in Computational Linguistics at the Heidelberg University as well. She went on to work as a Research Assistant at AIFB, Karlsruhe Institute of Technology. For her doctoral studies, she moved to the UK, getting a PhD in computer science from the University of Sheffield. She worked under the supervision of Dr. Diana Maynard and Prof. Fabio Ciravegna, writing a thesis on Web Information Extraction using Linked Data.[6] In 2021, she also earned a Habilitation while at the University of Copenhagen on Explainable Fact-checking.[7]
Upon graduating from University of Sheffield, Augenstein joined the Machine Reading Group at University College London as a post-doctoral researcher, working with Sebastian Riedel.[8] She then joined University of Copenhagen as a Tenure-Track Assistant Professor. She was promoted to Associate and eventually Full Professor and Head of the Natural Language Processing Section at the University of Copenhagen, where she still serves in that capacity.[9] She was also the Deputy Head of Research and Founding Employee at Checkstep, a startup focused on content moderation. In 2020, she was awarded a Sapere Aude fellowship from Independent Research Fund Denmark. Since August 2021, she is a member of the Young Academy, a scientific forum for excellent young researchers under the Royal Danish Academy of Sciences and Letters.[10] She was awarded a European Research Council Starting Grant, a grant supporting up-and-coming independent research leaders, for her project on Explainable and Robust Fact-checking.[11]
Augenstein works in the area of natural language processing. She has published over 100 peer-reviewed research articles and her work has been cited over 4500 times.[12] Her early work was on relation extraction and building NLP methods for Semantic Web. She went on to publish influential work on Rumour and Stance Detection including the most cited paper on Stance Detection.[13] She is well known for her work on fact-checking, gender bias, and explainability, which has often attracted media attention.[14] [15]
Augenstein is one of the founders of Widening NLP, a group seeking to increase the proportion of women and minorities working in natural language processing. She also holds a black belt in the martial arts of Taekwondo.[16]