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

	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
	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
CCP	Chris Chen, PhD	Marketing Research, Sales & Marketing statistical analysis, Credit risk modeling	Worldwide
SL	Shu Lee	Data Science and Machine Learning
	Jackie Campbell	Applied statistics/data analysis Research design Commissioned research and evaluation	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.
	Francis Fuller Bbosa	Impact evaluation, Data mining, Big data, Data modelling, Statistical computing algorithms and application of Machine learning in Health.	Africa
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
TD	Timothy Davis	Engineering	Worldwide
	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
	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
JD	Jean-Martin Dénis	Open government Data | Data Strategy | Data Management | Public administration Data architecture	Europe
	Prof. Dr. Diego Kuonen, CStat PStat	Statistical engineering, statistical thinking, statistics, analytics and data science, including artificial intelligence and machine learning.	Worldwide
	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
MB	Michael Baxter	Censuses Surveys Price indices Television monitoring	UK
SH	Sara Hilditch
	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
	Richard Saldanha	Quantitative finance; AI/machine learning; mathematics/statistics.	Worldwide
	Dr Gbenga Kazeem
	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

 

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