Dr Evangelia Kyrimi
Lecturer in AI and Data Science Royal Academy of Engineering Fellow
Email: e.kyrimi@qmul.ac.uk
Room Number: Peter Landin, CS 332
Twitter: @LinaKyrimi
Profile
Dr Kyrimi is a lecturer in AI and Data Science in the School of Electronic Engineering and Computer Science at QMUL. Since 2023 she is a Royal Academy of Engineering Research Fellow. Dr Kyrimi is a statistician, specialised on medical statistics. She has attained her PhD in computer science at QMUL. Her thesis is titled “Bayesian Networks for Clinical Decision Making: Support, Assurance, Trust”.
Dr Kyrimi's research interests lie in Bayesian modelling and decision support under uncertainty in healthcare. She focuses on methodologies for eliciting expert knowledge and developing causal graphical models. Her research is also about translating causal AI models into explainable and responsible AI systems that users can trust and adopt. This includes (1) investigating the fundamentals of explanation, (2) developing explanation algorithms that incorporate causality, (3) creating user-specific dynamic explanation outputs, and (4) generating an XAI evaluation protocol. She is also interested in understanding and bridging the existing gap between developing accurate clinical decision support systems and implementing them into practice.