I am a tenure-track assistant professor at the University of Copenhagen, Department of Computer Science since July 2017, affiliated with the CoAStAL NLP group and work in the general areas of Statistical Natural Language Processing and Machine Learning. My main research interests are weakly supervised and low-resource learning with applications including information extraction, machine reading and fact checking.
Before starting a faculty position, I was a postdoctoral research associate in Sebastian Riedel's UCL Machine Reading group, mainly investigating machine reading from scientific articles as part of a project funded by Elsevier. Prior to that, I was a Research Associate in the Sheffield NLP group, a PhD Student in the University of Sheffield Computer Science department, a Research Assistant at AIFB, Karlsruhe Institute of Technology and a Computational Linguistics undergraduate student at the Department of Computational Linguistics, Heidelberg University.
- December 2017: Won the DIKU (Department of Computer Science, University of Copenhagen) Dissemination Award 2017!
- December 2017: Paper on tracking typological traits of Uralic languages to be presented at Fourth International Workshop on Computational Linguistics for Uralic Languages!
- November 2017: Journal paper on discourse-aware stance detection accepted by Information Processing & Management!
- November 2017: Co-organising 3rd Workshop on Representation Learning for NLP (Repl4NLP) at ACL 2018
- November 2017: Giving invited talks on learning to read for automated fact checking at Grammarly Kyiv, Aarhus University and Linköping University. Slides are available online.
- September 2017: I'm co-organising a workshop on Learning with Limited Labeled Data at NIPS 2017
- September 2017: Giving an invited talk on NLP beyond the sentence level at the Structured Prediction for NLP workshop at EMNLP 2017