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The Alan Turing Institute

Dr Murray Pollock

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Murray Pollock

Position

Turing Fellow

Partner Institution

Newcastle University

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Research areas

Data science of government & politics Differential privacy Probability Simulation Monte Carlo methods High dimensional inference Causality Uncertainty quantification Stochastic optimisation Parallel computing

Bio

Murray Pollock is a Senior Lecturer based within the School of Mathematics, Statistics and Physics at Newcastle University, and an Honorary Associate Professor based within the Department of Statistics at the University of Warwick. Prior to this he was based within the Department of Statistics at the University of Warwick, initially as a Ph.D. student (under the supervision of Prof. A.M. Johansen and Prof. G.O Roberts FRS), then subsequently as a Research Fellow (on the project 'Intractable Likelihood: New Challenges from Modern Applications' held jointly between Bristol, Lancaster, Oxford and Warwick universities) and an Assistant Professor. Before entering academia he worked as an actuary in the US (Philadelphia) and Spain (Madrid).

Research interests

Murray's current research is primarily in computational statistics and data science, and is broadly concerned with addressing practical constraints that arise in modern inferential application settings (for instance algorithmic scalability with data size, working under data privacy constraints, and methodological design in parallel and distributed computing environments). Research interests include cryptography, machine learning, Monte Carlo methodology, perfect simulation, risk modelling and stochastic differential equations.

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