Jelle Teije.ma

The Netherlands 🇳🇱
PhD Candidate @ Utrecht University
Research Data Scientist @ ASReview

Contact Information

• Email: jelle@teije.ma
• GitHub: github.com/jteijema
• ORCID: 0000-0001-9282-4311
• Scholar: Jelle Jasper Teijema

Summary

I am an applied data scientist with a focus on open science, NLP, (generative) AI, and behavioral science. As a PhD candidate, I specialize in machine learning automation, large scale simulation studies, and active learning research. My data science stems from an academic background, now applied in solving industry problems.

Technical Skills

• Programming Languages: Python, CUDA Python, R, Git
• Favourite Package: Polars, ComfyUI
• Machine Learning: Keras, TensorFlow, Scikit-learn, PyTorch, NLP
• Cloud: Kubernetes, Docker, Exoscale, S3
• Research: Active Learning, Systematic Reviews, Explainable AI, NLP, Simulation Studies

Education

• PhD in Applied Data Science, Utrecht University (Ongoing)
• Master’s Degree in Data Science, Utrecht University (Cum Laude, 2021)
• Bachelor’s Degree in Information Science, Utrecht University (2020)

Experience

• PhD Candidate, Utrecht University (2022–Present)
• Research Data Scientist, ASReview (2021–Present)
• Guest Lecturer, De Nederlandsche Bank, European Central Bank, University of Oxford, North-West University
• Workshop Organizer/Presenter, Kickstart AI
• Teaching Assistant, Summer School, Utrecht University

Publications

• Research Paper, Active learning-based systematic reviewing using switching classification models, Frontiers in Research Metrics and Analytics
• Software Research Paper, ASReview Makita, Software Impacts
• Preprint, Simulation-based Active Learning for Systematic Reviews: A Scoping Review of the Literature, PSYARXIV
• Preprint, Large-Scale Simulation Study of Active Learning Models for Systematic Reviews, PSYARXIV

Projects

• ASReview Makita: Designed to streamline large-scale simulation studies for systematic reviews.
• Stable Diffusion Cluster: Personal project using SDXL and FLUX, leveraging ComfyUI for the application of advanced diffusion models.

Awards and Grants

• Fellowship Grant
• OCRE Grant, for cloud-based simulation studies using Exoscale

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.