people

Matthias Grabmair is a tenure-track Assistant Professor of Legal Tech in the Department of Informatics at the Technical University of Munich. Before joining TUM in January 2021, he worked as a Legal Data Scientist at the German legal informatics company SINC (2019-2020). Prior to that, he spent four years at Carnegie Mellon University’s Language Technologies Institute working with Prof. Eric Nyberg as a Visiting Researcher, Postdoc, and Systems Scientist (2015-2019). He obtained a diploma in law from the University of Augsburg, Germany, as well as a Master of Laws (LL.M.) and Ph.D. in Intelligent Systems mentored by Prof. Kevin Ashley from the University of Pittsburgh.

Dr. Grabmair serves as the section editor for Machine Learning of the Journal of Artificial Intelligence & Law and co-founded the ASAIL Workshop Series on Automated Extraction of Semantic Information in Legal Text, for which he has also been chairing the organizing committee since 2019.

Shanshan is a doctoral candidate in the Legal Tech Group at TU Munich under the guidance of Matthias Grabmair. Affiliated with MaiNLP at LMU, she benefits from the mentorship of Barbara Plank. With prior experience as a speech scientist at Nuance Communications/Cerence, Shanshan completed her master’s degree in Cultural and Cognitive Linguistics at LMU Munich. Her research interests encompass Natural Language Processing (NLP) in LegalTech, Computational Social Science, and Computational Linguistics.

In addition to her academic pursuits, Shanshan is actively involved as an organizer for Munich🥨NLP. She spearheads events that promote community engagement, with a particular focus on supporting and encouraging women in NLP. Shanshan’s dedication extends to actively fostering diversity and inclusivity within the field, contributing to a vibrant and inclusive research environment.

Santosh’s research spans across problems arising in the practice of law and public administration. More specifically, he is focussed on effectively combining models with legal expertise and computational models of legal inference and argumentation. In short, his work tries to break down the walls between models and legal experts, and bring them together.

Rashid is in the final year of his Masters in Informatics at TUM and supports the chair with server and database management.

[to fill]