Euodia Dodd

Email: e.dodd24@imperial.ac.uk

Euodia joined the group in Oct 2024 as a PhD student. Her research interests are broadly in the space of privacy attacks on AI, explainability/interpretability, and privacy-preserving ML.

Euodia obtained her BSc in Computer Science from The University of Sheffield, and an MPhil in Advanced Computer Science from the University of Cambridge in 2022 where she focused on deep learning. During her time at Cambridge, Euodia researched using DNNs for multimodal personality recognition in multi-person interactions as part of the Affective Computing and Robotics lab.

She then spent two years at Goldman Sachs in the Applied AI team where her work focused on developing deep learning models for quantitative finance applications using proprietary data.