I am a data scientist and software engineer with a strong research background, passionate about designing and building human-centered AI products. I am passionate about the whole data pipeline, from data collection and processing to modeling and analysis, with a particular focus on applications in healthcare and food technology.

I recently completed my PhD in computer science at TU Delft, where I developed techniques to improve the interpretability and visual inspection of AI models. My research focused on Bayesian and ensemble-based deep learning-based medical image segmentation, enabling more reliable and insightful analysis of complex AI-driven outputs.

With a blend of research expertise and hands-on software development skills, I thrive at the intersection of AI, visualization, and data-driven decision-making. I enjoy tackling complex problems, building scalable solutions, and translating cutting-edge research into practical applications.

If you want to know more about the projects I have been involved in, check out my publications or other projects pages. Also, do not hesitate to contact me if you are interested in collaborating or want to know more about me!