I advised on uncertainty quantification for deep learning models applied to healthcare datasets, resulting in a conference paper at COPA'25, an invited talk (JRC, Oct, 2024), and a minor contribution to a technical report on AI for medical imaging (2025).

I studied large-scale unexplained behaviour of LLMs and knowledge graph extraction using LLMs, resulting in a workshop paper at TEXT2KG'24 and a journal paper at the SWJ (2025).

I optimised business processes related to the manufacturing of lithography systems.

Focus on leadership development, soft skills and teamwork through volunteering abroad.

Bachelor’s thesis developing a forecast model for inventory control.

Small-scale improvements to the internal model for keyword bids on Google Ads.