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.

Specialisms

Name

City/Town

Postcode

Region Please Select Africa Asia Europe North America UK Worldwide

Areas of consultancy

• Applied operational research
• Bayesian methods
• Bioassay
• Calibration
• Censuses and surveys
• Clinical trials
• Design and analysis of experiments
• Epidemiology
• Expert systems
• Exploratory data analysis
• Forecasting
• GLMs and other non-linear models
• Graphics
• Multivariate analysis
• Neural networks and genetic algorithms
• Non-parametric statistics
• Numerical analysis and optimisation
• Pattern recognition and image analysis
• Probability
• Quality methodology
• Reliability
• Sampling
• Simulation
• Spatial statistics
• Statistical computing
• Statistical inference
• Survival analysis
• Time series

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SA	Stephen Azeez	Stephen Azeez is a Statistical Consultant specializing in applying advanced statistical methods to solve complex real-world problems across quant, risk modeling, predictive analytics, and decision systems. His expertise includes stochastics, 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
GC	Graeme Campbell
	Dr Rhian Davies	R package development, R Shiny app development and deployment, R training, Git & GitHub, Reproducible Analytical Pipelines, Public Health, Quality Assurance of statistical models	Worldwide
DBM	Dr Basile Marquier	Statistical Modelling & Predictive Analytics Machine Learning & AI Systems (Python, R) Design of Experiments (Factorial, Mixture, Response Surface Designs) Statistical Quality Analysis (Gage R&R, Control Charts, Capability Analysis) Model Validation & Uncertainty Quantification Industrial & Operational Analytics Cloud Data Platforms (Google Cloud Platform, Databricks / Spark) LLM-Based Solutions: RAG & Agentic AI Data Visualisation & Reporting (Microsoft Office, Python, R)
	Lynsey Mccoll	I am the Managing Director of Select Statistics. We work in partnership with our clients by combining statistical expertise with industry knowledge to extract actionable insights from data, improve decision making and drive business growth. We operate across a broad range of sectors and offer a wide variety of services that can all be tailored to meet your unique requirements. Our clients range from large international corporations and public sector bodies to SME’s and private individuals.	Worldwide
	Jo Morrison	I am a consultant with the team at Select Statistics. We work in partnership with our clients providing independent statistical advice, support and analysis. Our clients range from large companies to individual researchers, working in a wide variety of fields. See our website for more details. I have over 20 years’ experience working as a statistician in education research. My experience includes analysing government and international datasets, linear regression and multilevel (mixed effects) modelling, item analysis and IRT, age-standardisation, sample size calculations, analysis of RCTs, survey design, analysis of surveys and factor analysis. A key part of the consultancy role is communicating results of complex analyses in accessible ways to non-statisticians.	Worldwide
	Francis Fuller Bbosa	Impact evaluation, Data mining, Big data, Data modelling, Statistical computing algorithms and application of Machine learning in Health.	Africa
CN	Chris Naylor	Expert systems; Bayesian inferencing using the XMaster expert system shell.	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
	Gabriella Debreczeni	People Analytics (Business, Education, Healthcare, other public services). Regression analysis, survival methods in people data. Statistical programming in R. General statistical consulting.	Worldwide
	Seyed Shahmy	Time-series Analysis, Clinical Trials, Epidemiological studies, Public Health Policy Analysis	Worldwide
RC	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
	Gilbert Mackenzie	Statistical Model Development. Survival and Event History. Non-PH and & Parametric Models. Covariance Modelling in longitudinal studies.Design and Analysis of Longitudinal RCTs. Interval Censoring. GLMMs. R. SPSS. I was a Medical statistician for 30 years in QUB , Belfast, UK; Professor of Medical Statistics at Keele University in the UK and Director of the Centre of Medical Statistics; Professor of Statistics in the University of Limerick and Director of the Centre of Biostatistics and finally Visiting Professor of Statistics at ENSAI, Bruz, Rennes, France.
	Kevin Hon Yin Hau	Scorecard, Linear / Logistics / Non-linear / Quantile regression, Automation, Time Series, Simulation, GLM, Survival Analysis, Risk Modelling, Pricing, Forecast, Data Cleansing, Experimental Design, Financial Modelling, Graphical Design, Erlang-C Model, Tree Decision, Random Forrest, AutoML Program: SAS, R, VBA, SQL, Tableau
	Opeyemi Ogungbola	General Statistical Consulting	Africa
	Iurii Dushin	Data Scientist and Biostatistician with extensive experience in delivering novel AI software in healthcare. Demonstrated expertise in leading multidisciplinary teams, the development of innovative medical devices, and pioneering computer vision algorithms for neurological motor diseases. Proven track record of managing high-value projects, from conception to successful validation in multicenter clinical studies. Proficient in leveraging cutting-edge technologies, including deep learning models and cloud computing, to deliver impactful solutions.	Worldwide
TD	Timothy Davis	Engineering	Worldwide
CCP	Chris Chen, PhD	Marketing Research, Sales & Marketing statistical analysis, Credit risk modeling	Worldwide
	Min Sun	Data science in general, including but not limited to - Statistical modelling on multivariate and infinite dimensional variables with dimensional reduction, e.g. functional data analysis, GLM, mixed effect model, LASSO, Bayesian inference, survival analysis, circular statistics - Power/sample size calculation - Simulation - Statistical computing - Machine learning and deep learning, e.g. classification, clustering and image analysis - Non-parametric statistics - Applied operational research - System of differential equations - Graph theory & abstract algebra with applications to data analysis - Optimisation, with custom loss function	Worldwide
TB	Thomas Brown	Data Analysis, Lean Manufacturing, Optimisation Projects, Predictive Analytics, KPI Reporting, Six Sigma, Quality Control & Mapping, Programming, Process Modelling, Method Validation.	UK

 

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