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Tom Pape

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Tom Pape

PhD Candidate

BSc (Universität Jena), MSc (LSE), MRes (University of Cambridge)


Tom is currently taking part in a six-month fellowship programme with Public Health England (PHE) to gain practical experience in producing public health assessments. This opportunity followed his involvement in the regional COVID-19 modelling as a member of the Cambridge Judge-PHE collaboration. Before joining the doctoral programme, Tom worked as Knowledge Transfer Associate at Surrey County Council informing local bus planning, and helped University College London Hospitals as Research Associate to develop a ward performance measurement scheme. As part of his academic training, Tom has designed and delivered various lectures to EMBA and mini-MBA students at an equivalent of one module.

Research interests

Tom studies healthcare management, with a particular focus on mental health and primary care. His current projects try to identify operations management solutions to reduce health inequalities (with Public Health England) and quantify the benefits of doubling primary care spending (with Everside Health). To answer these topical questions, Tom applies causal statistical methods to routinely collected patient-level data.

Tom Pape is a member of the Operations & Technology Management subject group.

Publications & papers

Journal articles

Vindrola-Padros, C., Pape, T., Utley, M. and Fulop, N.J. (2017) “The role of embedded research in quality improvement: a narrative review.” BMJ Quality and Safety, 26(1): 70-80 (DOI: 10.1136/bmjqs-2015-004877)

Pape, T. (2017) “Value of agreement in decision analysis: concept, measures and application.” Computers and Operations Research, 80: 82-93 (DOI: 10.1016/j.cor.2016.11.018)

Pape, T. (2016) “Prioritising data items for business analytics: framework and application to human resources.” European Journal of Operational Research, 252(2): 687-698 (DOI: 10.1016/j.ejor.2016.01.052)

Pape, T. (2015) “Heuristics and lower bounds for the simple assembly line balancing problem type 1: overview, computational tests and improvements.” European Journal of Operational Research, 240(1): 32-42 (DOI: 10.1016/j.ejor.2014.06.023)

Working papers

Pape, T., Kavadias, S. and Sommer, S. (2021) “The behavioural knapsack problem: evidence of a fundamental bias in project selection.” (in preparation for re-submission to Management Science)

Contact details

Tom Pape
Cambridge Judge Business School
University of Cambridge
Trumpington Street
Cambridge CB2 1AG

[email protected]


Year of entry



Professor Stefan Scholtes


Operations & Technology Management