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

SA	Sabia Akram	Psychometrics Educational Assessment Occupational Psychology Assessments SPSS Research Report writing Presenting	UK
	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.
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
	Opeyemi Ogungbola	General Statistical Consulting	Africa
	Dr Gbenga Kazeem
	Dr Ian Hunt	Statistics and probability reasoning for forensic science/forensic statistics, expert witness statements/expert evidence (criminal and civil law), agri-food experiments, medical trials and investment finance analysis.	Worldwide
MB	Michael Baxter	Censuses Surveys Price indices Television monitoring	UK
TDP	Tine Descamps, PhD	Biomarker statistics Companion Diagnostics and 510(k) Clinical trials and preclinical	Worldwide
	Faisal Khamis	Applied Multivariate Statistics, Applied Social Statistics, Econometrics, Mortality, Epidemiology, Biostatistics, Spatial and Temporal Statistics, Time Series Analysis and Forecasting, Regression Analysis, Structural Equations Modeling.	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
	Catriona Keerie	Clinical trials design and methodology, sample size estimation, statistical analyses, SAS software, medical device evaluations, meta-analyses, systematic reviews, routinely collected data	UK
CCP	Chris Chen, PhD	Marketing Research, Sales & Marketing statistical analysis, Credit risk modeling	Worldwide
	Prof. Dr. Brijesh Sathian	Bio-statistics, Epidemiology, Clinical trials, Statistical Modelling, Public Health	Worldwide
MG	Mihir Gandhi	Expertise in oncology, child growth & development, and health-related quality of life studies, health economics/health service research
JH	John Henstridge
	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
MS	Mark Strong
	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
TD	Timothy Davis	Engineering	Worldwide
SB	Samuel Bosomprah	Biostatistics and Epidemiology

 

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