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

	Jason West	Bayesian analysis. Statistical methods. Epidemiology. Data science.	Worldwide
	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
TW	Timothy Wong	Machine Learning, Time Series, Spark MLlib, Hadoop
	Kath Lowery	Pharmaceutical clinical trials and development strategy; oncology; companion diagnostic development; small molecule, advanced therapies and immunotherapy development. Digital health and remote patient monitoring.	Worldwide
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
SL	Shu Lee	Data Science and Machine Learning
	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
DJW	Dr Julie Winstanley	Questionnaire design and testing, Psychometrics, IRT methods, Online survey methods	Worldwide
	Richard Huntsinger		Worldwide
MB	Michael Baxter	Censuses Surveys Price indices Television monitoring	UK
MS	Mark Strong
	Kyle Gomez		Europe
SA	Sabia Akram	Psychometrics Educational Assessment Occupational Psychology Assessments SPSS Research Report writing Presenting	UK
TD	Timothy Davis	Engineering	Worldwide
CCP	Chris Chen, PhD	Marketing Research, Sales & Marketing statistical analysis, Credit risk modeling	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
	Dr Rhian Davies	Reproducible Analytical Pipelines, Public Health, Quality Assurance of statistical models, R package development, R Shiny app development and deployment, R training	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
JD	Jean-Martin Dénis	Open government Data | Data Strategy | Data Management | Public administration Data architecture	Europe
	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

 

• Page
 
• 1 (current)
• 2
• 3