I recently completed an M.Sc. in Cognitive Science at Aarhus University with a thesis applying Bayesian cognitive modeling to customer churn in collaboration with Norlys. I now work as a Research Assistant at the Center for Humanities Computing, developing agent-based models and LLM-based annotation pipelines for computational social science. My expertise spans probabilistic modeling (PyMC, JAX), NLP at scale, and causal inference, combined with applied data science experience in industry.

Throughout my studies, mentors were decisive in helping me navigate research directions and build technical confidence, especially as someone moving into data science from a non-traditional background. I want to give back by supporting students facing similar transitions. The programme is also an opportunity to sharpen my own communication, broaden my network within the Danish data science community, and learn from fellow mentors working across academia and industry.