I am a researcher in Natural Language Processing (NLP) and Information Retrieval (IR). My research focus is text mining and information retrieval in specific domains. I have a particular interest in user-centric methods (interactive information access) and I am involved in a number of projects on social media mining, collaborating with social scientists.
My vision is that domain-specific challenges can enable breakthroughs in computer science; more specifically in my fields NLP and IR. I currently supervise projects that develop and evaluate NLP and retrieval methods in a diversity of domains. My group works on novel methods for representation learning, ranking, and information extraction. We work with a large diversity of textual data: archaeological reports, patents, scientific and legal publications, health records, newspaper texts, user-generated content in online patient communities (discussion forums), and posts on social media.
I am active in the NLP and IR communities, holding chairing positions in the large world-wide conferences. Recently, I was program co-chair for ECIR 2022.
I collaborate with public and private partners such as Wolters Kluwer, Zylab, Nedap Healthcare, Medstone, ZetaAlpha, and The Dutch National Institute for Public Health and the Environment (RIVM).
- PhD Candidate on Transparency and Explainability of Conversational Agents (deadline April 30) https://www.universiteitleiden.nl/vacatures/2023/kwartaal-2/23-252phd-candidate-transparency-and-explainability-of-conversational-agents