Jiaee is a Turing doctoral student interested in exploring statistical machine learning methods which are optimised to understand human emotions, behaviour and decision-making.

Research interests

Her research investigates bias and fairness of machine learning methods as applied to the field of affect recognition. She is currently focusing on visual sources and hopes to extend this to other modalities such as audio inputs and physiological signals. Her other research interests include algorithm interpretability and causal modelling.