I’m dreaming of data-driven solutions to prevent defective products
During my bachelor's in Industrial Engineering, I was particularly fascinated by subjects that combined mathematics and data to improve operational processes. This interest led me to choose the OML master's program and the Smart Industry track (former Capital Goods track), where the tangible and concrete challenges in manufacturing companies appealed to me the most. I did my master's thesis at MSD Animal Health, where I researched the quality of a specific vaccine, identified drivers of variability, and used statistical models and Machine Learning techniques such as Random Forest Regression to redesign the production process. This not only gave the company more insight and control over vaccine quality but also contributes to the health of animals and humans.
I opted for TU/e because I was resolute about pursuing the Industrial Engineering program, and TU/e had the most esteemed reputation for this field of study. The atmosphere at the university is relaxed, the facilities are good, and the professors are very approachable. Eindhoven as a city is pleasant; it offers everything that a big city has to offer but isn’t too big.
I recently started a PhD research at NXP Semiconductors, in collaboration with TU/e. Here I research how to quickly determine the cause of defective products at the moment customer complaints are received. In my first years at NXP, I want to develop as a specialist, with the future ambition of taking on a leadership role. My education at TU/e has really prepared me well for this. I’m looking forward to working with companies that have their own products and also make a valuable impact on society."