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
SA	Sabia Akram	Psychometrics Educational Assessment Occupational Psychology Assessments SPSS Research Report writing Presenting	UK
	Prof. Dr. Diego Kuonen, CStat PStat	Statistical engineering, statistical thinking, statistics, analytics and data science, including artificial intelligence and machine learning.	Worldwide
	Muhammad Faisal	I offer consultancy services in health data science, specialising in epidemiology, statistical computing, and predictive modelling for clinical decision-making. With extensive experience in exploratory data analysis, multivariate analysis, and causal inference, I help organisations uncover meaningful insights from complex health data. My expertise also includes simulation techniques and statistical inference, ensuring robust and data-driven decision-making. Whether supporting research projects, developing clinical prediction models, or enhancing analytical workflows, I provide tailored guidance to meet specific needs.	Worldwide
SB	Samuel Bosomprah	Biostatistics and Epidemiology
	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
CN	Chris Naylor	Expert systems; Bayesian inferencing using the XMaster expert system shell.	Worldwide
	Richard Saldanha	Quantitative finance; AI/machine learning; mathematics/statistics.	Worldwide
	Christopher Rose	Randomized trials of public health interventions. Meta-analysis (particularly network meta-analysis of pharmaceutical interventions and multivariate meta-analysis of risk factors). Statistical programming in Stata and Mata.	Europe
	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
	Gabriella Debreczeni	People Analytics (including answering specific questions, e.g. 'What drives attrition?'). Statistical modelling, regression analysis. Survival Analysis methods in people data. Statistical programming in R. General statistical consulting.	Worldwide
GC	Graeme Campbell
DJW	Dr Julie Winstanley	Questionnaire design and testing, Psychometrics, IRT methods, Online survey methods	Worldwide
	Opeyemi Ogungbola	General Statistical Consulting	Africa
CCP	Chris Chen, PhD	Marketing Research, Sales & Marketing statistical analysis, Credit risk modeling	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
	Andrew Kingston	Microsimulation, healthy life expectancy, time-to-event analysis, multistate modelling, group-based trajectory modelling, joint models, analysis of repeated meaures, analysis of longitudinal data, analysis of categorical data (cross-sectional and longitudinal), multivariate and multivariable analyses, R, Stata
	Seyed Shahmy	Time-series Analysis, Clinical Trials, Epidemiological studies, Public Health Policy Analysis	Worldwide
GM	Giovanni Montana	Machine learning, computer vision, medical imaging, deep reinforcement learning	Worldwide

 

• Page
 
• 1 (current)
• 2
• 3