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

Search Clear your choices

	Nana Owusu Mensah Essel
DJW	Dr Julie Winstanley	Questionnaire design and testing, Psychometrics, IRT methods, Online survey methods	Worldwide
AS	Adam Smith
SB	Samuel Bosomprah	Biostatistics and Epidemiology
TDP	Tine Descamps, PhD	Biomarker statistics Companion Diagnostics and 510(k) Clinical trials and preclinical	Worldwide
TD	Timothy Davis	Engineering	Worldwide
	Albert Chau	Clinical Trials, Drug Development, Phase I-IV Trials, Oncology, Cancer, Statistics, SAS Programming, CDISC, Data Management, Data Science, Survival Analysis	Worldwide
	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
	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
	Richard Huntsinger		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.
	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
	Nigel Marriott	I specialise in the following 5 areas. For more details and case studies please visit my website or my LinkedIn profile as shown on the Contact Details tab. SURVEY DESIGN Sample size calculation, questionnaire design, imputation models, acceptance sampling, decision rules, sample design, market research. DIVERSITY & PAY GAP ANALYTICS Gender Pay Gap Modelling, Ethnicity Representation Gap Analysis, Equal Pay Audits, HR Data Analysis Training, Disability Pay Gaps, Diversity and Inclusion Statistics FORECASTING & RISK MODELS Forecasts, business planning, risk analysis, decision science, trend analysis, projections EXPERT WITNESS & ADVICE SERVICES Expert advice, statistical expert, stats advice STATISTICAL TRAINING COURSES Basic Stats Courses, Statistical Thinking, Identifying Trends and Making Forecasts, Multivariate Analysis, Hypothesis Testing	Worldwide
	Francis Fuller Bbosa	Impact evaluation, Data mining, Big data, Data modelling, Statistical computing algorithms and application of Machine learning in Health.	Africa
	Kath Lowery	Pharmaceutical clinical trials and development strategy; medical statistics; oncology; companion diagnostic development; small molecule, advanced therapies and immunotherapy development. Digital health and remote patient monitoring.	Worldwide
	Dr Clement Twumasi (PhD|CStat|MPhil|BSc.)	GLMs, GLMMs, and other non-linear models, Clinical trials, Epidemiology, Stochastic Simulation, Classical Bayesian methods and Approximate Bayesian Computation, Forecasting & Backcasting, Predictive Modelling, Survival analysis, Time series analysis, Probability & Statistical inference, Multivariate analysis, Non-parametric statistics, Agent-based Modelling, Infectious Disease Modelling, Exploratory data analysis, Mathematical Biology, and Design and analysis of experiments, Functional Data Analysis, etc.	Worldwide
SA	Sabia Akram	Psychometrics Educational Assessment Occupational Psychology Assessments SPSS Research Report writing Presenting	UK
	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
SA	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
AD	Afrah Dirie

 

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