Peter Uhrig

Peter Uhrig is a Professor of Digital Linguistics at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), focusing on Big Data applications in linguistics. Previously, he held roles as interim professor at the University of Osnabrück (Computational Linguistics & Cognitive Science) and University of Leipzig (English Linguistics). His research integrates cognitive linguistics, corpus linguistics, and computational methods, emphasizing large-scale data analysis and open datasets.

Education and career highlights include a PhD and Habilitation from FAU, leadership at TU Dresden’s Center for Scalable Data Analytics, and collaborations with the Max-Planck-Institute for Psycholinguistics. He has secured grants including a 1.1M core-hour NHR award for Russian media analysis and led projects like the Distributed Little Red Hen Lab (Google Summer of Code 2018-2019).

Key achievements: Winning the EmpiriST tokenization contest (2018), co-developing Singularity containers for OpenPose, and advancing multimodal corpus tools like NewsScape. Current research emphasizes machine learning applications in linguistic structures and multimodal cognition.