I am an assistant professor at the mathematics department of CentraleSupélec, University Paris-Saclay in France. I am also a part of the βiomathematics group of MICS Laboratory working on machine learning methods applied in medical applications.
I received a diploma in electrical and computer engineering at the Polytechnic School of the Aristotle University of Thessaloniki. Soon after, I joined the graduate school of the University of Bern, where I conducted my PhD at the ARTORG Center for Biomedical Engineering Research under the supervisison of Prof. Stavroula Mougiakakou. There, I focused on the design of computer-assisted diagnosis support systems for interstitial lung diseases using deep learning approaches. As a part of a doctoral mobility collaboration, Ι worked with Prof. Nikos Paragios on deep learning-based medical image registration pipelines at the Central Vision Numeric (CVN) of CentraleSupélec in Paris. I continued my research on computer-assisted approaches for healthcare as a fellow of the SNSF Early Postdoc Mobility grant at Gustave Roussy in Paris. Ι worked on computer-assisted precision medicine for breast cancer in collaboration with Prof. Fabrice Andre, Prof. Eric Deutsch, Prof. Laurence Zitvogel, Prof. Nikos Paragios and Prof. Maria Vakalopoulou as part of the Centre National de Médecine de Précision (PRISM).
Amazing work on bias discovery and mitigation by our students from the MSc AI program of CentraleSupelec to be published at ECCV 2024! You can find out more here.
Sopa, our technology-invariant pipeline for spatial omics analysis that scales to millions of cells, is now published at @NatureComms! You can find more details here
Glad to organize the tutorial on Computational Pathology together with Maria Vakalopoulou for ISBI 2024 in Athens!
Our abstract on breast cancer diagnosis from fine-needle aspiration cytology whole slide images has been accepted for a poster presentation on ESMO Breast 2024 in Berlin!
ECCV 2024
Nature Communications 2024
ICCV BioImage Computing Workshop 2023
Nature Medicine 2023