Utrecht, The Netherlands 🇳🇱 (Dutch Nationality)
Age: 28
PhD Candidate @ Utrecht University
Research Data Scientist @ ASReview
Detailed online CV
Contact Information
Summary
PhD candidate specializing in applied data science, (explainable) machine learning, natural language processing, and AI-driven support systems. My current research focuses on optimizing decision-making tasks using data-driven simulation studies and active learning techniques. I'm motivated to use my academic knowledge for meaningful purposes, working on societal challenges and contributing to solutions that positively impact society.
Current PhD Research
My PhD research is within the ASReview project, a machine learning-based tool designed to optimize the screening process in systematic literature reviews. My role involves managing research data, developing and testing machine learning models, and building the simulation platform for evaluation. I also focus on explainable AI methods to translate complex model outcomes into understandable insights. I believe the primary task of a data scientist is to understand real-world problems and formulate these into data-driven problems, and subsequently provide practical, understandable solutions.
Tech Stack
- Machine Learning & AI: TensorFlow, Keras, PyTorch, NLP, Active Learning, Explainable AI
- Data Science & Simulations: Python, Polars, large-scale simulation studies (actively developing and maintaining simulation tools for asreview)
- Software & Cloud Infrastructure: Docker (extensive experience hosting Docker environments), Kubernetes, Exoscale Cloud (open-source AWS alternative), S3
- Programming & Development: Python, Git, R, comfortable working in Linux-based environments and CLI workflows
Experience
- Research Data Scientist, ASReview (2021 – Present)
- PhD Candidate, Utrecht University (January 2022 – December 2025)
- Guest Lecturer, De Nederlandsche Bank, European Central Bank, University of Oxford, North-West University
- AI Workshop Host, Kickstart AI
- Teaching Assistant, "Data Wrangling" Master's course, Applied Data Science
- Mentor, Supervised 10+ Master's students on Data Science thesis projects
Education
- PhD in Applied Data Science, Utrecht University (Ongoing)
- Master’s Degree in Applied Data Science, Utrecht University (Cum Laude, 2020 - 2021)
- Bachelor’s Degree in Information Science, Utrecht University (2016 - 2020)
- Rowing - High Level Sports Sabbatical Year (2017), Men's Eight team @ A.U.S.R. ORCA
Publications
- Under Review, major revision 2024, Large-Scale Simulation Study of Active Learning Models for Systematic Reviews, International Journal of Data Science and Analytics
- Under Review, minor revision 2024, Simulation-based Active Learning for Systematic Reviews: A Scoping Review of the Literature, Journal of Information Science
- Software Research Paper 2024, ASReview Makita, Software Impacts
- Research Paper 2023, Active learning-based systematic reviewing using switching classification models, Frontiers in Research Metrics and Analytics
Projects
- ASReview Makita: Designed to streamline large-scale simulation studies for systematic reviews.
- Stable Diffusion: Personal project using SDXL and FLUX, leveraging ComfyUI for the application of advanced diffusion models.
- Self-Hosted Server Cluster: Distributed Docker Compose infrastructure for self-hosted LLM platforms, enterprice level monitoring and security, and home automation.
Awards and Grants
- Hofvijverkring Fellowship Grant, awarded to support international collaboration and conference visits during my PhD.
- OCRE Grant, for cloud-based simulation studies using Exoscale.
- AIVD Kerstpuzzel 2020, Algemene Inlichtingen- en Veiligheidsdienst (AIVD) & Nationaal Bureau voor Verbindingsbeveiliging (NBV): achieved shared 32nd place (team effort with Charles Meijer).
Invited Talks & Workshops
- De Nederlandsche Bank & European Central Bank on safe experimentation with large language models
- University of Oxford on AI and systematic reviews
- North-West University on the impact of AI and GPT models
- Kickstart AI Data Science workshop on large-scale simulation studies
- ValueBlue on the implementation of (generative) AI solutions.