Eleni Chiou

I am a Machine Learning Scientist with over 6 years of academic and industrial experience in deep learning and AI for healthcare.

Currently, at GSK.ai, I develop computer vision solutions for computational pathology, aimed at advancing precision medicine and accelerating drug development.

I completed my PhD in Machine Learning and Medical Imaging at University College London (UCL), where I was advised by Iasonas Kokkinos and Eleftheria Panagiotaki. During my PhD, I worked at the intersection of Deep Learning, Computer Vision, and Medical Imaging. My research primarily focused on the development of domain adaptation methods for semantic segmentation with deep learning, applied to both novel medical imaging datasets and natural images. This included proposing pixel-level domain adaptation approaches that leverage generative adversarial networks and content-style disentanglement to translate images across different domains while maintaining semantic consistency, allowing for unsupervised or semi-supervised model adaptation.

I received my Diploma in Electrical & Computer Engineering from the Technical University of Crete (TUC) and my MSc degree in Biomedical Engineering from the Technical University of Denmark (DTU).

During my PhD, I did a research internship with Samsung, where I worked on efficient reference-based image super-resolution for shadow removal.