👋 Hi!

My name is Daniel Anadria and I am a doctoral researcher in natural language processing (NLP) at Utrecht University with background in statistics, methodology and applied data science.

My research interests involve:

• NLP & Text Mining 📚⛏️
• Clinical Data Science
• Trustworthy AI (esp. algorithmic fairness & explainablility)

🔬 Research

My research explores ways to ensure that AI systems in healthcare uphold public values such as fairness and transparency. In particular, I focus on detection and mitigation of harmful biases in clinical NLP systems.

My PhD project is part of the Algorithmic Society consortium.

I am a member of:

• Algorithmic Society
• Human Data Science
• Natural Language and Text Processing (NLTP) Lab

🗞️ What’s new?

• 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!