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

TB	Thomas Brown	Data Analysis, Lean Manufacturing, Optimisation Projects, Predictive Analytics, KPI Reporting, Six Sigma, Quality Control & Mapping, Programming, Process Modelling, Method Validation.	UK
SB	Samuel Bosomprah	Biostatistics and Epidemiology
	Seyed Shahmy	Time-series Analysis, Clinical Trials, Epidemiological studies, Public Health Policy Analysis	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
	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
	Novri Suhermi	Time Series Forecasting, Statistical Computing, R & Python Programming, Marketing Analytics	Worldwide
	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
	Evangelos I. Kritsotakis	Prognostic factor research, clinical prediction models, randomised controlled trials, quasi-experimental studies, time series analysis, population-based cohort studies, complex sample surveys, systematic reviews, and meta-analysis.	Worldwide
MS	Mark Strong
	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
AS	Adam Smith
JD	Jean-Martin Dénis	Open government Data | Data Strategy | Data Management | Public administration Data architecture	Europe
	Jason West	Bayesian analysis. Statistical methods. Epidemiology. Data science.	Worldwide
	Francis Fuller Bbosa	Impact evaluation, Data mining, Big data, Data modelling, Statistical computing algorithms and application of Machine learning in Health.	Africa
GC	Graeme Campbell
	Piotr Fryzlewicz	Statistics and data science consulting services in: statistical modelling and simulation; time series analysis including time series forecasting; predictive analytics including predictive regression modelling; statistical computing in R; statistical learning and machine learning including deep learning; change-point detection; high-dimensional statistical inference and dimension reduction; quantitative finance. Statistics and data science training courses in: general statistics and machine learning, predictive regression modelling, deep learning, time series analysis including forecasting, basic and advanced R, statistics in finance. (Please contact me if you are interested in a course on a topic not listed here.)	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
	Dr Gbenga Kazeem
	Jackie Campbell	Applied statistics/data analysis Research design Commissioned research and evaluation	Worldwide
	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

 

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