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

	Prof. Dr. Brijesh Sathian	Bio-statistics, Epidemiology, Clinical trials, Statistical Modelling, Public Health	Worldwide
	Prof. Barry Quinn	Open science analytics, Cloud computing and financial technology, Financial data science, statistical forecasting, machine learning and predictive analytics.	Europe
	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
GM	Giovanni Montana	Machine learning, computer vision, medical imaging, deep reinforcement learning	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
MS	Mark Strong
SA	Sabia Akram	Psychometrics Educational Assessment Occupational Psychology Assessments SPSS Research Report writing Presenting	UK
TD	Timothy Davis	Engineering	Worldwide
SL	Shu Lee	Data Science and Machine Learning
	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
MG	Mihir Gandhi	Expertise in oncology, child growth & development, and health-related quality of life studies, health economics/health service research
	Francis Fuller Bbosa	Impact evaluation, Data mining, Big data, Data modelling, Statistical computing algorithms and application of Machine learning in Health.	Africa
	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
	Jason West	Bayesian analysis. Statistical methods. Epidemiology. Data science.	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
CN	Chris Naylor	Expert systems; Bayesian inferencing using the XMaster expert system shell.	Worldwide
	Novri Suhermi	Time Series Forecasting, Statistical Computing, R & Python Programming, Marketing Analytics	Worldwide
CCP	Chris Chen, PhD	Marketing Research, Sales & Marketing statistical analysis, Credit risk modeling	Worldwide
	Seyed Shahmy	Time-series Analysis, Clinical Trials, Epidemiological studies, Public Health Policy Analysis	Worldwide
JH	John Henstridge	John has worked in a number of fields, including time series (especially signal processing), surveys and modelling. He is frequently called upon as an expert witness in legal matters.	Worldwide

 

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