معرفی
Helena Andres Terre is a Research Fellow at the Department of Computer Science and Technology, University of Cambridge, and a member of The Mark Foundation Institute for Integrated Cancer Medicine. She holds an honorary role as a Clinical Research Fellow at Moorfields Eye Hospital, London. Her research focuses on AI-driven biomedical data integration, generative models, and interpretable machine learning. She completed a PhD in Artificial Intelligence (University of Cambridge, 2015–2019, nominated for distinguished dissertation), an MPhil in Mathematical Networks (Queen Mary University of London, 2014–2015, with distinction and best student prize), and a BA in Theoretical Physics from the University of Barcelona and Rensselaer Polytechnic Institute.
Her work integrates complex systems, mathematical networks, and deep learning to address challenges in cancer diagnosis and treatment. Key areas include unsupervised generative models, graph neural networks, and explainable AI for healthcare. She actively promotes equity in STEM through roles with Women@CL and Trinity College PostDoc Society.
Recent research trends emphasize multi-modal data fusion for clinical decision-making, leveraging graph-based architectures and adversarial techniques. Her contributions include CellVGAE for single-cell RNA analysis and REM for interpretable healthcare analytics. Awards include recognition for her PhD and MPhil achievements.
Helena supervises Part II/III projects in Physics and Computer Science, teaches Machine Learning at Cambridge Spark, and mentors through initiatives like Code First: Girls. Beyond academia, she is a competitive ultimate frisbee athlete and outdoor enthusiast.
