Nadia Soliman

Nadia is a Jennie Gwynn post-doctoral career development fellow in the Pain Research Group. Her research focuses on the development and use of evidence synthesis methods to narrow the translation gap between preclinical and clinical chronic pain research. Her aim is to better connect research silos using evidence synthesis methods to increase understanding of the biological mechanisms underlying chronic pain, improve the identification of drugs and drug targets and improve the methodological rigour and trustworthiness of preclinical and clinical research. Nadia’s PhD supervised by Prof Andrew Rice, and co-supervised by Prof Malcolm Macleod, CAMARADES, University of Edinburgh and Prof James Thomas, Eppi Centre, University College London focused on developing automation technologies to improve the feasibility, efficiency and accuracy of preclinical systematic reviews while addressing neurobiological questions of interest. Of note was the use of machine learning for study selection, the development of a semi-automated data extraction tool, and the use of crowd science to facilitate research conduct that is rigorous, interpretable, open, and transparent. Tools and methods that she will continue to use and develop in her research. Nadia’s background includes a BSc (Hons) Pharmacology (University of Liverpool, 2007), an MSc in Drug Discovery Skills (King’s College London, 2015) and MRes in Cellular and Molecular Biosciences (Imperial College London, 2017). She also has an interest in sharing her military experiences and knowledge of leadership development to engender a more positive research culture.

• Faculty of Medicine