👋 Hi!

My name is Daniel Anadria and I am a doctoral researcher in trustworthy natural language processing at Utrecht University. My research aims to advance computational methodologies that can help ensure fairness, safety, and transparency of clinical NLP pipelines. With background in methodology, statistics, and applied data science, I propose approaches for detection and mitigation of harms with(in) clinical NLP systems.

You might find me at:


My supervisory team consists of Prof. Dr. Daniel Oberski and Dr. Anastasia Giachanou of Utrecht University, and Dr.ir. Roel Dobbe of Delft University of Technology. My PhD project is part of the Algorithmic Society consortium.

🗞️ What’s new?

  • Joined UMCU Julius Center - Data Science Group
  • Began an AI research internship at St. Antonius Hospital 🥼
  • Organizing the Dutch Clinical NLP Workshop - join us on June 24 2024 in Utrecht! 🇳🇱
  • A collaboration article with Caspar van Lissa and Mauricio Garnier-Villarreal is published in Structural Equation Modeling: A Multidisciplinary Journal 🥳
  • The preprint of my recent collaboration with Jelle Teijema is out! 🙌
  • Joined Data Science: Introduction to Text Mining with R and Data Science: Applied Text Mining summer school courses as a TA for the second year in a row
  • Joined the European Workshop for Algorithmic Fairness (EWAF’23) as a proceedings chair! 🪑

🤝 Want to get in touch?

If we share interests, you are interested in one of my past projects, or would like to collaborate or consult me about your present work, feel free to reach out!