I am currently pursuing my PhD as part of the Medical Image Analysis group, working on the INTRA SURGE project (INTelligent computeR-Aided Surgical gUidance for Robot-assisted surGEry). The project aims to improve robot-assisted minimally invasive esophagectomy (RAMIE), a complex procedure with high complication rates and a steep learning curve that exceeds 100 cases.My research focuses on developing real-time machine learning algorithms for anatomical recognition during surgery. By… Show more I am currently pursuing my PhD as part of the Medical Image Analysis group, working on the INTRA SURGE project (INTelligent computeR-Aided Surgical gUidance for Robot-assisted surGEry). The project aims to improve robot-assisted minimally invasive esophagectomy (RAMIE), a complex procedure with high complication rates and a steep learning curve that exceeds 100 cases.My research focuses on developing real-time machine learning algorithms for anatomical recognition during surgery. By improving the precision of anatomical identification, we aim to reduce surgical errors, accelerate the learning curve for surgeons, and ultimately enhance patient safety in these high-risk procedures. Show less

At the University of British Columbia, I developed advanced deep learning techniques, including dual generative adversarial networks, to improve image reconstruction in photoacoustic imaging. My research focused on enhancing accuracy, image quality, and system generalization, contributing to innovative advancements in medical imaging technology, with a publication in SPIE Medical Imaging.

As a teaching assistant, I have guided students through various undergraduate courses, including those on digital twins in healthcare and automotive design challenges.

As a student consultant at UniPartners, I worked on a project for ASML to professionalize a toolbox that engineers use to gather/process/visualize data from an SQL database.

Groenhuysen is a care company with multiple locations. I worked at the 'Heerma State' facility, which specifically focused on elderly individuals with dementia. My tasks included preparing meals, performing household chores, and supporting residents in their daily lives at the facility.

Blue Jay is a dedicated student team at Eindhoven University of Technology, focused on harnessing the potential of drones for meaningful societal impact. In my role within the hardware team, I optimized the drone's performance by enhancing battery life and developing standard testing procedures to evaluate and compare the performance of various drone models.