During my PhD project, I will be working on Spectro-Dynamic MRI at the Computational Imaging group of the UMC Utrecht, under supervision of Alessandro Sbrizzi and Nico van den Berg. The goal of the project is to identify in vivo dynamical systems using MRI data in the spectral domain.

During my board year at URE, I was responsible for the autonomous systems of our driverless racecar.

For my third year in URE, I switched to the Driverless department. Here I was responsible for SLAM, an algorithm that allows our self-driving car to create a map of its surroundings while it is driving along the track.

Besides my study at the TU/e, I was looking for an extra challenge. I found this at the student team University Racing Eindhoven (URE), where we design and buid an electric racecar every year. My part-time task at URE is to make the Bill of Material of the car, including all parts and processes, and investigate choices in the design and production process of building a racecar.

My graduation project at UMC Utrecht, under supervision of Alessandro Sbrizzi, was about characterizing dynamical systems directly from raw MRI data. It was graded with a 9.5.

During my internship at the Center for Advanced Imaging Innovation and Research (CAI2R), part of New York University School of Medicine, I worked on a motion robust sequence for abdominal MR fingerprinting. It was graded with a 9.5.

I help students (levels between VMBO 1st class and university 3rd grade) with their homework, both individually and in small groups. I did this at the students' homes, at a study coaching bureau, and on the TU/e.