I am a rising statistician and a data scientist in the final year of MSc Methodology and Statistics at Utrecht University. My primary project is the development of a new feature attribution technique for transformer language models such as BERT which can be used to explain which words, phrases and sentences are driving their predictions. I am always curious and in awe about something. This is reflected in my side projects which I greatly enjoy:

• Collaboration on an article about best practices in latent class analysis using free open source software
• Collaboration on a systematic review about the use of active learning for systematic reviews
• Collaboration on the implementation of state-of-the-art feature selection methods for the R package mice (Multivariate Imputation by Chained Equations)

Interests:

• NLP & Text-Mining
• Algorithmic Fairness & Explainable AI (XAI)
• Feature Attribution & Feature Selection
• Active Learning & Deep Learning
• Systematic Reviews
• Latent Class Analysis & Structural Equation Modeling

Active in:

• M&S NLP Group
• Mice Team
• ASReview Team

Consultation:

I find problem-solving and knowledge-sharing incredibly fulfilling! If you think I might be able to help, don’t hesitate to reach out!