Anthony Lee

Research Interests

Bayesian inference

Computational statistics

Monte Carlo methodology

Parallel & distributed algorithms

Scalable data analysis

I am a Computational Statistician in the School of Mathematics at the University of Bristol, and Director of the Data Science at Scale Programme at the Alan Turing Institute.

My research is primarily in the area of stochastic algorithms for approximating intractable quantities that arise in data analysis. Examples of such algorithms are Markov chain and Sequential Monte Carlo. I work on both theory and methodology: research in this area is interdisciplinary, bringing together advances in applied probability, algorithms, and statistics.

I am often interested in algorithms that scale well in parallel and distributed computing environments, and in computational and statistical trade-offs when conducting inference.

I am an investigator on the Computational Statistical Inference for Engineering and Security (CoSInES) programme grant.

Education & Positions

D. Phil. (2011) Statistics

University of Oxford

M. Sc. (2008) Computer Science

University of British Columbia

B. Sc. (2006) Computer Science

University of British Columbia

Associate Professor (Reader) in Statistical Science, School of Mathematics, University of Bristol.

Programme Director, Data Science at Scale, Alan Turing Institute.

Associate Editor, Statistics and Computing.

Associate Editor, Journal of Computational and Graphical Statistics.

Previous roles:

Senior Lecturer in Statistical Science, University of Bristol, 2018-19

Lecturer in Statistical Science, University of Bristol, 2017-18

Turing Fellow, Alan Turing Institute, 2016--2017.

Assistant Professor, University of Warwick, 2013--2017.

CRiSM Research Fellow, University of Warwick, 2011--2013.

Contact Information

School of Mathematics

Fry Building

Woodland Road

Bristol BS8 1UG

United Kingdom


Email: anthony.lee "at" bristol.ac.uk

Email: alee "at" turing.ac.uk

Office in Fry: GA.03