👋 Hi!

My name is Daniel Anadria and I am a doctoral researcher in trustworthy artificial intelligence at Utrecht University and University Medical Center Utrecht. My work focuses on methodologies for the development, implementation, and assessment of automated decision support systems. I’m interested in ways to evaluate and ensure that AI systems exhibit desirable properties such as fairness, transparency, safety, and conformance to the EU and national regulations. My focus is on computational models used within clinical decision support systems. I want to contribute to answering - How can AI be integrated in ways that are responsible and safe?

🎓 Academic Background

I am a data scientist and statistician. I also hold a psychology degree and have worked with natural language processing and explainable AI methods. I’m curious and solution-oriented. I look over the disciplinary hedge to identify solutions that enable succesful deployment of AI systems.

📍 Affiliations

My supervisory team consists of Prof. Dr. Daniel Oberski (Utrecht University), Dr.ir. Roel Dobbe (Delft University of Technology), and Dr. Anastasia Giachanou (Utrecht University). I am a also a member of Dr. Maarten van Smeden’s Methods for AI and Data Science group at the University Medical Center Utrecht. My PhD project is part of the Algorithmic Society consortium.

🗞️ What’s new?

• Following a course on system safety and hazard analysis at TU Delft
• 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!