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

CN	Chris Naylor	Expert systems; Bayesian inferencing using the XMaster expert system shell.	Worldwide
SH	Sara Hilditch
JD	Jean-Martin Dénis	Open government Data | Data Strategy | Data Management | Public administration Data architecture	Europe
	Dr Gbenga Kazeem
SL	Shu Lee	Data Science and Machine Learning
	Kyle Gomez		Europe
MB	Michael Baxter	Censuses Surveys Price indices Television monitoring	UK
JH	John Henstridge
DJW	Dr Julie Winstanley	Questionnaire design and testing, Psychometrics, IRT methods, Online survey methods	Worldwide
	Novri Suhermi	Time Series Forecasting, Statistical Computing, R & Python Programming, Marketing Analytics	Worldwide
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
GM	Giovanni Montana	Machine learning, computer vision, medical imaging, deep reinforcement learning	Worldwide
	Seyed Shahmy	Time-series Analysis, Clinical Trials, Epidemiological studies, Public Health Policy Analysis	Worldwide
SB	Samuel Bosomprah	Biostatistics and Epidemiology
	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
	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

 

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