Associate professor at Télécom Paris in the Data, Intelligence and Graphs (DIG) team, Nils Holzenberger works on natural language processing and machine learning. He is also affiliated with the Center for Language and Speech Processing at Johns Hopkins University, where he obtained his PhD under the supervision of Prof. Ben Van Durme and Prof. Raman Arora.
His research interests include representation learning and unsupervised learning for speech and text, as well as statutory reasoning and legal language understanding. He has published several papers in prestigious conferences and journals, such as ACL, CoNLL, ICASSP, IEEE Journal of Selected Topics in Signal Processing, and Journal of Fluid Mechanics.
He has also participated in various shared tasks and challenges, such as NIST TAC SM-KBP, ICAIL, and Grounded Sequence to Sequence Transduction. He has collaborated with researchers from different domains and institutions, such as law, fluid mechanics, linguistics, and computer vision.
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