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

TDP	Tine Descamps, PhD	Biomarker statistics Companion Diagnostics and 510(k) Clinical trials and preclinical	Worldwide
SB	Samuel Bosomprah	Biostatistics and Epidemiology
	Jackie Campbell	Applied statistics/data analysis Research design Commissioned research and evaluation	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
DJW	Dr Julie Winstanley	Questionnaire design and testing, Psychometrics, IRT methods, Online survey methods	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
	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
MB	Michael Baxter	Censuses Surveys Price indices Television monitoring	UK
	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
	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
	Richard Saldanha	Quantitative finance; AI/machine learning; mathematics/statistics.	Worldwide
	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
	Dr Marie Oldfield	At Oldfield Consultancy we provide AI Assurance consultancy, expert witness input for the legal profession and statistics. We work with cutting edge analytical solutions encompassing Legal Expert Witness (DNA, Fraud, Homicide etc), Court compliant reporting, AI, Statistics, Modelling, Training, Data Science and Ethics. www.oldfieldconsultancy.co.uk. Some Past Clients: Oil and Gas, Lawyers, Barristers, Scoliosis SOS, Royal Navy, Royal Air Force, British Army, CPS, UK MOD, UK Gov, MOJ, NATO, Broadcast Media & multiple Universities. At Fractal AI we are a non profit providing AI Accreditation, research and training for AI professionals www.fractalai.org.uk.	Worldwide
SA	Sabia Akram	Psychometrics Educational Assessment Occupational Psychology Assessments SPSS Research Report writing Presenting	UK
	Dr Gbenga Kazeem
TB	Thomas Brown	Data Analysis, Lean Manufacturing, Optimisation Projects, Predictive Analytics, KPI Reporting, Six Sigma, Quality Control & Mapping, Programming, Process Modelling, Method Validation.	UK
	Paul Lee	I specialise in clinical trials, epidemiological studies, survey analysis and psychometrics. My experience includes randomised and cluster-randomised trials, longitudinal cohorts, questionnaire validation and lifestyle epidemiology. Particular interests include mental health, physical activity, sleep and measurement methods. I support projects from protocol development through analysis, interpretation and publication.	Worldwide
	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.
BFE	Blaise F Egan	Exploratory data analysis; Data visualisation; Forecasting and time series; Samples and surveys; Generalised linear models, Generalised additive models; Bayesian statistics;
	Seyed Shahmy	Time-series Analysis, Clinical Trials, Epidemiological studies, Public Health Policy Analysis	Worldwide

 

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