I am an Assistant Professor in Computational Linguistics/ Natural Language Processing at the Computational Linguistics Group of the University of Groningen, and a VENI laureate since September 2016.
I am passionate about the statistical modeling of languages, particularly in a multilingual context, and my long-term goal is to design robust NLP algorithms that can adapt to the large variety of linguistic phenomena observed around the world.
Among others, I work towards improving the quality of Machine Translation for challenging language pairs, and making state-of-the art NLP models more interpretable.
As a cross-disciplinary research enthusiast, I'm interested in enhancing research on human language processing or language evolution with computational modeling tools.
Last but not least, I enjoy observing, interacting with, and finding daily inspiration in my two daughters and their trilingual minds in the making.

Interested in my work ? See my Research page.


  • [May 2021]   Paper accepted at ACL 2021: "Input Representations for Parsing Discourse Representation Structures: Comparing English with Chinese", with Chunliu Wang, Rik van Noord and Johan Bos.
  • [Apr 2021]   Paper accepted at PrivateNLP 2021 (NAACL Workshop): "Using Confidential Data for Domain Adaptation of Neural Machine Translation", with Sohyung Kim and Fatih Türkmen.
  • [Apr 2021]   Extended abstract accepted at CMCL 2021 (NAACL Workshop on Cognitive Modeling and Computational Linguistics): "The Effect of Efficient Messaging and Input Variability on Neural-Agent Iterated Language Learning", with Yuchen Lian and Tessa Verhoef.
  • [Mar 2021]   Paper accepted at NoDaLiDa 2021: "Understanding Cross-Lingual Syntactic Transfer in Multilingual Recurrent Neural Networks", P. Dhar and A. Bisazza.
  • [Nov 2020]   I'll be chairing CoNLL 2021 together with Omri Abend.
  • [Nov 2020]   I've been awarded a NWO National Science Agenda grant on Interpreting deep learning models for language, speech & music as part of an amazing group of Netherlands-based academics, companies and non-for-profits. Looking forward to collaborating!