Mimie is a Senior Research Data Scientist at dunnhumby, a world-leading customer data science company. As a member of the Category Management research team, she is focused on developing models and algorithms that deliver the best possible product range for retailers and customers across the world.

Her PhD was on causal inference, an area she is very passionate about, and she has been leading the effort to develop dunnhumby’s causal inference capacity.

Beyond dunnhumby, she has further experience working in data science at the University of Oxford, Morgan Stanley, and the UK Department of Health in London. She holds a PhD in Computer Science and an MSc in Operational Research, both from the University of Southampton, and a BA (Hons) in Computer Science from the University of Cambridge. Her work has been honoured with awards and has been featured in top media outlets.