Olena Mandrik

MSc Maastricht (the Netherlands), PhD Rotterdam (the Netherlands)

School of Medicine and Population Health

Research Fellow

o.mandrik@sheffield.ac.uk
+44 114 222 6392

Full contact details

Olena Mandrik
School of Medicine and Population Health
Regent Court (ScHARR)
30 Regent Street
Sheffield
S1 4DA
Profile

I joined the Health Economics and Decision Science (HEDS) group in October 2018 as a modeller, following a postdoctoral fellowship at the International Agency for Research on Cancer (IARC) of the World Health Organization, and the completion of a PhD at the Erasmus University Rotterdam, School of Health Policy and Management (2015).

My journey into academia followed a seven-year career in the pharmaceutical industry, where I held leadership positions at several global companies, including Janssen-Cilag, Merck, and Sanofi.

At HEDS, I specialise in public health modelling, with a particular focus on the evaluation of prevention and early detection programmes. My areas of interest include cancer, genetic testing, and the exploration of health inequalities. Throughout my research career, I have contributed to the development of several key methodological documents, including leading the ISPOR Task Force on Critical Appraisal of Systematic Reviews With Costs and Cost-Effectiveness Outcomes. I have also contributed to major international evidence synthesis initiatives, such as the IARC Handbooks of Cancer Prevention, Volume 19 on Oral Cancer Prevention.

Currently, I serve as co-Director of the SENSS Evidence Synthesis Group of SCHARR, funded by the NIHR. In this role, I support work aligned with the objectives of the UK National Screening Committee and the NIHR.

Research interests
  • Decision modelling for health economic evaluations
  • Complex public health decision problems
  • Screening, early detection, and diagnostics
  • Inequality and equity analysis
Publications

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Journal articles

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Journal articles

Conference proceedings papers

Datasets

Preprints

Teaching interests

I supervise MSc and PhD students and welcome inquiries from prospective research students interested in public health decision modelling.