A post-doctoral research associate in the Maternal and Fetal Health Research Centre at the University of Manchester. Experienced in using routinely collected health data to investigate maternal, foetal and neonatal outcomes. Experienced in systematic reviews, meta-analysis, and statistical analysis of big data including data wrangling and manipulation, multi-level modelling, regression analysis, missing data analysis and multiple imputation.

Paolo obtained a BSc (Hons) in Psychology from the University of Greenwich (2013) and an MSc in Clinical Neurology from the University of Sheffield (2015). Paolo then worked as a Clinical Trials Assistant at Sheffield Teaching Hospitals (2015-2017), and as a Research Assistant in Health Economics at the School of Health and Related Research, University of Sheffield (2017-2019). 

In 2024, Paolo was awarded a PhD from the University of Edinburgh. This PhD utilised Scotland’s routinely-collected administrative health datasets to investigate the perinatal and offspring outcomes of maternal epilepsy and to explore the role of prenatal exposure to anti-seizure medications.

Paolo continued with this work as part of a Post-Doctoral Research Fellow position at the same institution, before moving to Manchester to take up a position as a Post-Doctoral Research Associate at the Maternal and Fetal Health Research Centre within the department of Biology, Medicine and Health.

Paolo is currently working on defining and validating an algorithm to identify pregnancy episodes in routine health data in England. This will allow for accurate identification of pregnancy episodes on a national scale, and will be used to conduct large scale epidemiological studies into maternal health and inequalities in the UK.