Staff Profile
Professor Murray Pollock
Academic Director for Data and Digital Technologies, Professor of Statistics and Data Science
I am currently the Academic Director for Data and Digital Technologies, and a Professor of Statistics and Data Science within the School of Mathematics, Statistics and Physics at Newcastle University (substantive position). I hold additional responsibility as the Director for the CDT in Cloud Computing and Big Data (run jointly with the School of Computing). My 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).
For the current academic year, I am teaching MAS8953 Computational Statistics.
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Articles
- Hu S, Dai H, Meng F, Aslett L, Pollock M, Roberts G. Statistical Disaggregation --- a Monte Carlo Approach for Imputation under Constraints. Scandinavian Journal of Statistics 2025, epub ahead of print.
- McKimm H, Wang A, Pollock M, Robert C, Roberts G. Sampling using adaptive regenerative processes. Bernoulli 2025, 31(1), 509-536.
- Chan RSY, Pollock M, Johansen AM, Roberts GO. Divide-and-conquer fusion. Journal of Machine Learning Research 2023, 24, 1-82.
- Wang AQ, Pollock M, Roberts GO, Steinsaltz D. Regeneration-enriched Markov processes with application to Monte Carlo. Annals of Applied Probability 2021, 31(2), 703-735.