teaching

500189-B-6: Introduction to Data Science

Tilburg University, Tilburg, Netherlands
Block 4, 2022–present · Lecturer and Course Coordinator

This undergraduate course introduces students to the foundations of data science with an emphasis on practical application using R. Topics include data cleaning and visualization, exploratory data analysis, supervised and unsupervised learning, and model evaluation. I am fully responsible for course design, lectures, and computer labs, and I developed all teaching materials including lecture slides, assignments, and coding exercises.

JBI030: Data Mining and Machine Learning

Tilburg University & Eindhoven University of Technology, Netherlands
Block 2, 2022–present · Lecturer

This undergraduate course introduces key concepts and techniques in data mining, with a focus on practical model implementation and evaluation in Python. I serve as co-lecturer and am primarily responsible for the supervised learning component, covering topics such as logistic regression, Naive Bayes, support vector machines, decision trees, and neural networks.

Prospective Students and Research Assistants

I welcome inquiries from students who are interested in working with me on topics related to digital platforms, social media, generative AI, consumer behavior, and quantitative methods.

I am especially happy to hear from students with interests in:

• digital platforms, social media, and online information environments
• generative AI, personalization, and algorithmic decision-making
• pricing, consumer choice, and digital markets
• machine learning, data science, and causal inference

If you are interested in potential supervision or research assistant opportunities, please send me an email with a short introduction, your CV, and a brief description of your research interests and relevant skills.