Hello! I am a Postdoctoral researcher in Natural Language Processing at Vrije Universiteit Amsterdam. I am also closely affiliated with the Knowledge Representation and Reasoning group at the same University.

I have been investigating how to improve the ability of semantic NLP systems when determining identity of long-tail entities, especially with respect to the role of backround knowledge. In my PhD thesis, I proposed to focus on five aspects of this challenge: description/definition, analysis, improvement of evaluation, enabling access to more knowledge, and building knowledge-intensive systems. The topics covered and the skills employed stem from ideas in various AI fields: Information Extraction, Knowledge Graphs, and Neural Networks.

During my PhD, I was supervised by Piek Vossen, Frank Van Harmelen, Stefan Schlobach, and Marieke van Erp. In 2017, I spent ~7 months as a research visitor at the Language Technologies Institute at Carnegie Mellon University, under supervision of Ed Hovy. My PhD dissertation can be found here.

I have experience with a wide range of programming languages, databases, and techniques. My preferred programming language is Python (particularly the scientific Python stack).

For a detailed information on my experience, skills, teaching, reviewing, organization, etc., please check my CV.