I am a mathematician by training who now works on machine learning for breast cancer. Most of what I do sits between mathematics, medical imaging and healthcare. I do my PhD at the Division of Systems and Control, supervised by Jens Sjölund, and I am part of the WASP Graduate School (ML/X track, 2026 cohort).

I hold a BSc in Mathematics from the University of Barcelona, with a minor in Statistics, and an MSc in Data Science (Machine Learning and Statistics) from Uppsala University.

Before starting my PhD I spent a year as a research engineer at KTH Royal Institute of Technology, in the Division of Robotics, Perception and Learning. There I used diffusion-based generative models to classify plankton images, as part of a marine environmental research project.

In my free time I enjoy hiking, traveling and football. My name is Catalan and is pronounced roughly a-LESH.

• machine learning for breast cancer detection,
• medical imaging and 3D representations of the breast,
• multimodal models that combine images with clinical and molecular data,
• what the representations learned by generative models are good for.