Imperial College London

Paula Christen

Faculty of MedicineSchool of Public Health

Research Postgraduate







UG2Medical SchoolSt Mary's Campus





I am a PhD student in the Department of Infectious Disease Epidemiology based in the School of Public Health at Imperial College London.

Using a mixed-methods approach, I research how evidence can be developed to address policymakers’ evidence needs, specifically in the context of the evaluation of infectious disease interventions. 

In my PhD research, I explored perspectives held by stakeholders at the global level (e.g., WHO) and by stakeholders engaged in national policy development and implementation. For the latter, the human papillomavirus (HPV) vaccine introduction in Mozambique was used as a case study. Thereby, I developed a framework, which can support countries identifying research priorities, addressing these with bespoke evidence products, and communicating outcomes that are considered programme and policy relevant. This research is conducted in collaboration with Centro de Investigação em Saúde de Manhiça (CISM) in Mozambique. My PhD is funded through the ESRC LISS DTP Collaborative (CASE) Studentship and supervised by Dr Lesong Conteh and Professor Tim Hallett

During my PhD, I have also collaborated with the UK Health Security Agency and worked in Professor Katharina Hauck’s team, where I modelled the impact of the COVID-19 pandemic on UK healthcare resources. As a data analyst at the WHO Learning and Capacity Development Unit, I have been working towards efficient data analysis solutions for developing massive online learning platform strategies.

I have previously worked as a Research Assistant supporting Dr Laure de Preux estimating indirect costs associated with chronic diseases to the UK. 

I hold a BSc in Management from Cass Business School, an MSc in Business Analytics and an MSc in Epidemiology, both from Imperial College.



Haw D, Forchini G, Doohan P, et al., 2022, Optimizing social and economic activity while containing SARS-CoV-2 transmission using DAEDALUS, Nature Computational Science, Vol:2, ISSN:2662-8457, Pages:223-233

Christen P, Conteh L, 2021, How are mathematical models and results from mathematical models of vaccine-preventable diseases used, or not, by global health organizations?, Bmj Global Health, Vol:6, ISSN:2059-7908, Pages:1-10

Christen P, D'Aeth J, Lochen A, et al., 2021, The J-IDEA pandemic planner: a framework for implementing hospital provision interventions during the COVID-19 pandemic, Medical Care, Vol:59, ISSN:0025-7079, Pages:371-378

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