Kyriakos Flouris

Kyriakos Flouris is a Junior Group Leader at the Biostatistics Unit, University of Cambridge, where he is establishing a research programme at the crossroads of statistics, machine learning, and physics. His current work focuses on biomedical applications, exploring generative models for time-dependent data, latent dynamics through manifold learning, and the development of robust AI systems grounded in geometric and mathematical principles.

Before joining the University of Cambridge, Kyriakos was a Senior Research Scientist in the Biomedical Image Computing Group at ETH Zürich, following earlier research at the Institute of Astrophysics. He holds a BA and MSci in Physics from Cambridge and a PhD in Computational and Theoretical Physics from ETH Zürich. His career has bridged, biomedical imaging, physics, AI, and data science, reflecting a long-standing interest in using mathematical tools to make sense of complex systems. Outside the lab, he enjoys skiing,  biking, and the occasional football match.