SAMBa Team
Christian Rohrbeck

Executive team

SAMBa Management

Matthias Ehrhardt

Executive Team

Dr Matthias Ehrhardt is a Reader in the Department of Mathematical Sciences and is interested in the mathematics of data science, particularly the interface of optimization, inverse problems and machine learning.

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Tim Rogers

Executive team

Professor Tim Rogers is interested in understanding and predicting the behaviour of complicated random events and processes, in particular when there are network or spatial structures involved.

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Alex Cox

Co-Director

Professor Alex Cox is Co-Director of SAMBa and Deputy Head of the Department of Mathematical Sciences. Alex is interested in research questions arising in probability and their applications in mathematical finance.

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Marcel Ortgiese

Executive Team

Dr Marcel Ortgiese is a Reader in the Department of Mathematical Sciences. Marcel’s research interests are in probability theory, in particular in stochastic systems that involve a spatial or network component.

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Lou Adkin

Centre Coordinator

Lou Adkin delivers the administrative support for SAMBa, oversees the admissions process, and supports programme delivery.

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Susie Douglas

Co-Director

Dr Susie Douglas oversees the strategic direction and operation of the SAMBa CDT. Susie works across University CDTs to add value to the research and training portfolio.

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Lindsay Melling

Operations Officer

Lindsay Melling is involved in the operational aspects of the SAMBa CDT, including responsibility for the oversight, delivery and development of Integrative Think Tanks, partner liaison, marketing and dissemination.

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Philippe Trinh

Executive Team

Dr Philippe Trinh is a Reader in applied mathematics. Phil’s research is motivated by a range of physical applications in the applied sciences, with particular emphasis on fluid mechanics and classical hydrodynamics.

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Theresa Smith

Deputy Director

Dr Theresa Smith is a senior lecturer in the Statistics Group in the Department of Mathematical Sciences. Theresa’s research is in the areas of spatial-temporal models and computation for Bayesian methods.

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