Dr Daniela Schlüter

Personal Statement

I am an applied mathematician/ statistician with a focus on longitudinal data analysis and methods that enable us to learn about cause-effect relationships from observational data. My interest is in utilising these methods to understand pathways to poor child health and the development of health inequalities.

My background is in Biomathematics which I studied at the University of Greifswald (Germany) and Massy University Palmerston North (New Zealand) followed by a PhD in Mathematical Biology at the University of Dundee. I then wanted to move more towards data science and statistics which led me first to a postdoctoral position in pharmacokinetic and drug combination modelling at Cranfield University (2013-2014) before I joined Lancaster University for a postdoc in biostatistics (2014-2019). During my time at Lancaster I worked across a range of projects applying different statistical methods including methods for longitudinal data analysis, spatial statistics and causal inference, to answer questions in tropical disease epidemiology, neurology, musculoskeletal science and public health. During this time, I developed my interest in child public health which led me to taking up a lectureship in the Department for Public Health and Policy at the University of Liverpool in October 2019.

I am committed to making statistics accessible for students from other disciplines through my undergraduate and postgraduate teaching on the MBChB and MPH. I am also dedicated to supporting and developing PhD students and early career researchers.