I am Tim, a PhD student at ASML and TU/e graduating in Nov 2025. During my PhD, I develop multimodal AI for computer vision and augmented reality in industrial settings. My work spans scalable video understanding, defect detection, and human–AI collaboration. I combine industrial research experience at Microsoft, ASML, and Honda with a strong publication record and patents, translating cutting-edge AI into practical solutions.
Outside the lab, I am usually on (or tinkering with) a motorcycle, traveling, or learning Portuguese.
ASML Research, Eindhoven
Microsoft Research, Redmond
Honda Research Institute Europe GmbH, Frankfurt
Automotive Technology InMotion, Helmond
Eindhoven University of Technology, Eindhoven
University of Cambridge, Cambridge
International Summer School, Matera
Eindhoven University of Technology, Eindhoven
Eindhoven University of Technology, Eindhoven
Tiago Botari, Tim J. Schoonbeek, Dan Lehman, Alexandru Onose and Jan Jitse Venselaar
EP Patent Filing 24223558.8. 2024
Patent filed for robust defect identification and segmentation techniques that do not require labeled training data, enabling more scalable and cost-effective quality control in manufacturing.
Daniel Faatz, Tiago Botari and Tim J. Schoonbeek
EP Patent Filing 23211337.3 and WO Patent Filing PCT/EP2024/080483. 2023
Patent filed for contrastive deep learning approaches applied to scanning electron microscopy (SEM) defect inspection, improving accuracy and efficiency in semiconductor manufacturing quality control.