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.

Evangelos I. Kritsotakis Prognostic factor research, clinical prediction models, randomised controlled trials, quasi-experimental studies, time series analysis, population-based cohort studies, complex sample surveys, systematic reviews, and meta-analysis. Worldwide
Christopher Rose Randomized trials of public health interventions. Meta-analysis (particularly network meta-analysis of pharmaceutical interventions and multivariate meta-analysis of risk factors). Statistical programming in Stata and Mata. Europe

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Michael Baxter Censuses Surveys Price indices Television monitoring UK
Seyed Shahmy Time-series Analysis, Clinical Trials, Epidemiological studies, Public Health Policy Analysis Worldwide
Nana Owusu Mensah Essel

DJW

Dr Julie Winstanley Questionnaire design and testing, Psychometrics, IRT methods, Online survey methods Worldwide
Professor Jane L Hutton Expert witness and forensic statistics Life expectancy; cerebral palsy, injuries to neural system. Adverse effects of drug and medical devices. Commercial disputes related to medicines and medical devices. Validity and reliability of data. Epidemiology. Statistics and ethics. Worldwide
Kyle Gomez Europe
Ramzi Mraidi Specialized in quantitative analysis, statistical modeling, epidemiology, and data-driven research. Experienced in applying advanced analytical methods to support decision-making, policy development, and evidence generation across health, development, and related sectors. Worldwide
A Rosemary Tate Medical statistics and epidemiology. Machine learning and computer science. Analysis of electronic health records. Multivariate statistics and statistical pattern recognition. Analysis and design of surveys. DATA QUALITY, Data visualisation. Worldwide

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Stephen Azeez Stephen Azeez is a Statistical Consultant specializing in applying advanced statistical methods to solve complex real-world problems across risk modeling, predictive analytics, and decision systems. His expertise includes exploratory data analysis, forecasting, non-parametric statistics, numerical analysis and optimization, expert systems, spatial statistics, statistical computing, and inference. With a focus on bridging quantitative techniques and business strategy, Stephen has delivered impactful solutions in financial services and technology sectors, developing robust models, scalable analytical frameworks, and actionable insights that drive informed decision-making. He also contributes to the field through publications, academic supervision, and peer review in AI and applied statistics. Worldwide

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Graeme Campbell

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Roland Caulcutt Six Sigma - I have trained thousands of blackbelts, greenbelts and managers and supported process improvement projects. Communication - I have run many courses to help data analysts communicate more effectively with managers and other clients. Worldwide

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Chris Chen, PhD Marketing Research, Sales & Marketing statistical analysis, Credit risk modeling Worldwide

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Sabia Akram Psychometrics Educational Assessment Occupational Psychology Assessments SPSS Research Report writing Presenting UK
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

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Chris Naylor Expert systems; Bayesian inferencing using the XMaster expert system shell. Worldwide

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Mihir Gandhi Expertise in oncology, child growth & development, and health-related quality of life studies, health economics/health service research
Andrew Kingston Microsimulation, healthy life expectancy, time-to-event analysis, multistate modelling, group-based trajectory modelling, joint models, analysis of repeated meaures, analysis of longitudinal data, analysis of categorical data (cross-sectional and longitudinal), multivariate and multivariable analyses, R, Stata
Novri Suhermi Time Series Forecasting, Statistical Computing, R & Python Programming, Marketing Analytics Worldwide