Dr Ioanna Manolopoulou

Dr Ioanna Manolopoulou


Professor of Statistical Science, University College London

Former position

Turing Fellow

Partner Institution



Ioanna has been a Lecturer in Statistics at University College London since 2012. She completed her PhD at the University of Cambridge in 2008 under the guidance of Simon TavarÈ and Steve Brooks. She then joined SAMSI (Statistical and Applied Mathematical Sciences Institute) as Postdoctoral Fellow and Duke University as Visiting Assistant Professor, working with Mike West and Sayan Mukherjee.

Research interests

Ioanna's work focuses on developing Bayesian modelling and inferential tools for complex data, involving space and time processes with inhomogeneous features. Her work has been applied to various applications including customer science, ecology, health economics and accounting. Methodologically, one of her directions within the ATI will be to develop new methods for dealing with data with complex dependencies or which have not been collected completely randomly. In terms of applications, her work in retail analytics aims to provide novel customer and product segmentations as well as devise more tailored prediction algorithms. She is also interested in health economics, in particular identifying population-wide treatment effects and studying the effect of uncertainty in public health decision-making.