Consultants Directory

We provide a Directory of Statistical Consultants listing our professionally qualified members who offer a statistical consultancy service. Professionally qualified members hold the status of Chartered Statistician (CStat).

The Directory contains profiles created by the consultants, including information on their specialisms and background as well as their contact details. It operates on an opt-in basis – each consultant has agreed to their profile being available on our public website. There are terms of reference covering the operation of the directory, to ensure it remains up to date.


Geoffrey Darnton The most widely recognized specialism is social statistics. I have experience of a wide range of research and consulting experiences. These include: simulating the economic consequences of the UK joining the EEC; using econometric techniques to monitor arms control agreements; checking the validity of social surveys; analyzing banking customer satisfaction measures; checking statistics used to determine legal aid payments to solicitors for criminal cases; updating methods of social research. Worldwide


Andrew Garrett Clinical trial design and drug development. Non-inferiority and subgroup analysis. Big data. Linking of administrative data (government) Worldwide


Tony Ward I work with any business that recognises the potential value of the data they hold; I am experienced in many industries including insurance, gaming, retail and financial services. Specialisms include * Unstructured Text Analytics (Topic Modelling) * Product Pricing * Marketing Analytics * Machine Learning * Data Science Worldwide
Piotr Fryzlewicz Statistics and data science consulting services in: statistical modelling and simulation; time series analysis including time series forecasting; predictive analytics including predictive regression modelling; statistical computing in R; statistical learning and machine learning including deep learning; change-point detection; high-dimensional statistical inference and dimension reduction; quantitative finance. Statistics and data science training courses in: general statistics and machine learning, predictive regression modelling, deep learning with R and Keras, time series analysis including forecasting, basic and advanced R, statistics in finance. (Please contact me if you are interested in a course on a topic not listed here.) Worldwide


Timothy Davis Engineering Worldwide


Jane Hutton Life expectancy; cerebral palsy, injuries to neural system.


Ana Nora Donaldson Biostatistics. Her expertise is in the design, evaluation and execution of research projects and the statistical analysis of the corresponding data.


Kevin Kane Design and analysis of clinical trials, ensuring optimal quality in data analysis, multiple imputation, non-parametric statistics, modelling and simulation, liaising with drug development clinicians, support for independent interim analyses


Olusanya Olubusoye My area of specialization is econometric analysis and macroeconometric modelling. I have proficiency in formulating models for policy analysis, simulations and forecasting using popular packages like EViews, TSP and Stata.


Anthony O'Hagan Bayesian methods and applications, particularly developing novel solutions to difficult problems. Elicitation of expert knowledge. Assurance analysis for drug development. Cost-effectiveness analysis for pharmaceuticals. Training in Bayesian statistics, cost-effectiveness analysis, elicitation, model uncertainty. Some experience in legal work. Worldwide


Marie Watissee Biostatistics, various therapeutic areas and phases


Guan Koon Ong Clinical Trials, Product Development,


David Jones Management Information Official and National Statistics Statistical & Econometric analysis Surveys Data systems and tools Master Data Management and Quality Worldwide
Barry Quinn Financial data science, statistical forecasting, machine learning and predictive analytics.


Ian Hunt


Stefano Bonini Banking & Finance Credit Risk Modeling


Martin Gibson International and multi-cultural experience in project leadership, change management, and cross-functional team management to improve bottom line performance through Systems Thinking, 4th Generation Management, Advanced Quality Planning, Lean Six Sigma, Policy Deployment, Failure Mode Avoidance, Robustness and Variation Reduction.


Aura Popa • Data science and advanced analytics technical applications offering bespoke data driven solutions to Market Research industry (Data Validation and Cleaning, Data Processing and Reporting, Basic Statistics, TURF Analysis, Key drivers analysis, Text Analytics, Spatial Statistics, Brand Mapping, Data Reduction, Decision Trees, Optimum Price Modelling, Data Visualisation, RFM Analysis, Customer Segmentation, Predictive analytics, Multichoice Discrete Models (MaxDiff, Conjoint)) • Customed Tailored Dashboards to answer your company needs • Customed Tailored Training to answer your employees needs in Basic Stats, SPSS, Excel


Peter Ceuppens Specialist in experimental design for both process/assay optimisation (in-vitro and in-vivo) and also for design and analysis of pivotal animal in-vivo experiments. Statistical training, particularly for scientists. Clinical pharmacology neuroscience and infection. Regulatory and investigative safety toxicology including reproductive, genetic and carcinogenicity. Safety pharmacology. Multivariate data analysis. Translational medicine including biomarker discovery and qualification. Data visualisation and interpretation.


Timothy Wong Machine Learning, Time Series, Spark MLlib, Hadoop