Oxford University Statistical Consulting (OxUSC) is a source of statistical advice and expertise for clients from businesses and organisations and for researchers and staff at the University of Oxford.
We work closely with our clients across disciplines and sectors to answer questions relating to study design, data collection, analysis and visualisation of results. We also offer statistical training tailored to your context and needs.
If you are a University of Oxford DPhil, researcher/academic or staff member and need support with the use of statistical methods in your research or day-to-day operations, we can advise and provide expertise across all stages of your project.
We work with you to refine your questions, help you get the most out of your data, draw the correct conclusions from your analysis, and communicate your results.
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Professor of Biostatistics
I moved to Oxford from Imperial College London in February 2004. At Imperial College I studied for my doctorate in Bayesian statistics, investigating novel nonlinear pattern recognition methods. This was followed by a post-doctoral position and then a lectureship at Imperial. Previous to this I worked in industry for a number of years researching in scientific computing, developing techniques for real-time pattern recognition models in defence and SCADA (Supervisory Control and Data Acquisition) systems. My current research is focussed on applications and statistical methods development in the genomic sciences and genetic epidemiology. I hold a Programme Leaders Grant in Statistical Genomics from the Medical Research Council.
I have a broad interest in the theory, methods and applications of statistics and statistical modelling. My background and beliefs lie in Bayesian statistics which provides a unified framework to stochastic modelling and information processing. I am particularly interested in pattern recognition and nonlinear, nonparametric methods.
College Affiliation: Fellow at St Anne's College
Email: cholmes@stats.ox.ac.uk
Telephone: +44(0)1865 285874
Office number: 1.08
Associate Professor of Probability
I was educated in France where I graduated jointly from ENSAE (National School for Statistics and Economic Administration) and Université Paris VI in 2000. After my PhD in Paris VI (2003) in Probability, I was Maitre de Conférences in Marseille for three years and then in Paris until 2014 when I joined the Department of Statistics and Magdalen College in Oxford.
During this time I have also twice been visiting professor at NYU-Abu Dhabi as well as a long term visitor at the University of Bath.
My research is in probability theory and focuses essentially on models and situations which involve tree-like structures and branching phenomena. Examples include coalescent processes, branching processes, continuous random trees, branching random walks… These models are not only endowed with a remarkably rich mathematical structure that connects them to many area of mathematics, but they also occur naturally in physical sciences, in population genetics and in biology. Questions that arise in these fields are a major motivation of my work.
College Affiliation: Tutorial Fellow at Magdalen College
Email: julien.berestycki@stats.ox.ac.uk
Telephone: +44(0)1865 281881
Office number: 3.09
David Geldbach
Professor of Probability
2003-Present - Professor of Probability, University of Oxford
2024-Present - President of the Academy for the Mathematical Sciences
2019-2022 - Head of Department, Department of Statistics, University of Oxford
1999-2005 - EPSRC Advanced Fellow, University of Oxford
1997-2012 - University Lecturer in Applied Mathematics, University of Oxford, in association with a Tutorial Fellowship at Magdalen College
1996-1997 - Reader in Probability and Statistics, Queen Mary and Westfield College, University of London
1992 - Neyman Assistant Professor, Department of Statistics, University of California at Berkeley
1990-1996 - Lecturer in Pure Mathematics, University of Edinburgh
I began graduate work as a student in functional analysis and rapidly became interested in the interface between probability and analysis. Much of my work focuses on infinite dimensional stochastic processes and their applications. Most recently my central interest has been a collection of mathematical problems arising in population genetics.
College Affiliation: Fellow by Special Election at Magdalen College
Telephone: +44(0)1865 281244
Office number: 3.07
Professor of Structural Bioinformatics
I lead the Oxford Protein Informatics Group (OPIG), a research group of over 20 people working on diverse problems across immunoinformatics, protein structure and small molecule drug discovery; using statistics, AI and computation to generate biological and medical insight.
In January 2024, I became Executive Chair of the Engineering and Physical Sciences Research Council (EPSRC).
I am also co-director of the Systems Approaches to Biomedical Research Centre for Doctoral Training which I founded in 2009.
Between 2022 - 2023, I was Chief Scientist of Biologics AI at Exscientia, a biotech company where I led its computational scientific development.
During the COVID-19 pandemic, I served on SAGE, the UK Government’s Scientific Advisory Group for Emergencies and acted as UK Research and Innovation’s COVID-19 Response Director.
I have held numerous senior roles at the University of Oxford, including Head of the Department of Statistics and Deputy Head of the Mathematical, Physical and Life Sciences (MPLS) division.
In the 2022 Birthday Honours, I was appointed Member of the Order of the British Empire (MBE) for services to COVID-19 research.
My research covers several areas in protein structure prediction and protein interaction networks, combining both theoretical work and empirical analyses. We work on developing novel methodologies to understand and predict protein evolution, interaction, structure and function. Our work is focussed in the four main areas listed below:
In OPIG, we develop novel algorithms, tools and databases that are openly available to the community. These tools are widely used web resources and are also part of several Pharma drug discovery pipelines.
For more information about the research and members of the Oxford Protein Informatics Group, see our group web pages. A list of all software developed in my group can also be found here.
College affiliation: Fellow at St Anne's College
Phone number (Department): +44 (0)1865 272860
Phone number (Direct): +44 (0)1865 281301
Office number: 2.16
