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Stefan Scholtes

Dennis Gillings Professor of Health Management
Director of the Doctoral Programme
Academic Director of the Centre for Health Leadership & Enterprise (CCHLE)

Diploma, PhD, Habilitation (Karlsruhe Univ.)

Professional experience

Stefan is an associate editor of Mathematics of Operations Research, and was previously associate editor of Operations Research, the SIAM Journal on Optimization and the IMA Journal of Numerical Analysis.

Previous appointments

Stefan has taught operations research at the University of Karlsruhe in Germany and in Cambridge's Engineering Department, where he retains a courtesy faculty position. Prior to his appointment to the Gillings Chair of Health Management, he was Professor of Management Science at Cambridge Judge Business School. He has held visiting positions at Stanford, MIT and London Business School and has spent a six-month sabbatical with Cambridge University Hospitals NHS Foundation Trust.

Research interests

Operations management for healthcare organisations and local healthcare systems; statistical analysis of patient flow and organisational data in hospitals and local healthcare systems to study effects of management interventions on clinical, operational and financial outcomes at the patient and organisational levels.

Stefan Scholtes is a member of the Operations subject group.

Selected publications

Scheel, H. and Scholtes, S. (2003) "Continuity of DEA efficiency measures." Operations Research, 51(1): 149-159

Scholtes, S. (2004) "Nonconvex structures in nonlinear programming." Operations Research, 52(3): 368-383

Kuosmanen, T., Post, G.T. and Scholtes, S. (2007) "Non-parametric tests of productive efficiency with errors-in-variables." Journal of Econometrics, 136(1): 131-162

Mason, R., Savva, N. and Scholtes, S. (2008) "The economics of licensing contracts." Nature Biotechnology, 26(8): 855-857

de Neufville R. and Scholtes, S. (2011) Flexibility in engineering design. Cambridge, MA: MIT Press.

Scholtes, S. (2012) Introduction to piecewise differentiable equations. New York, NY: Springer.