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

	Dr Rhian Davies	R package development, R Shiny app development and deployment, R training, Git & GitHub, Reproducible Analytical Pipelines, Public Health, Quality Assurance of statistical models	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
	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
	Opeyemi Ogungbola	General Statistical Consulting	Africa
CCP	Chris Chen, PhD	Marketing Research, Sales & Marketing statistical analysis, Credit risk modeling	Worldwide
MS	Mark Strong
	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
	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
	Richard Saldanha	Quantitative finance; AI/machine learning; mathematics/statistics.	Worldwide
	Lynsey Mccoll	I am the Managing Director of Select Statistics. We work in partnership with our clients by combining statistical expertise with industry knowledge to extract actionable insights from data, improve decision making and drive business growth. We operate across a broad range of sectors and offer a wide variety of services that can all be tailored to meet your unique requirements. Our clients range from large international corporations and public sector bodies to SME’s and private individuals.	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
	Jackie Campbell	Applied statistics/data analysis Research design Commissioned research and evaluation	Worldwide
	Kyle Gomez		Europe
	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
GC	Graeme Campbell
	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
	David Boniface	I began my career as a Medical Research Council statistician in the 1970’s and have specialised in solving statistical problems arising in medical and behavioural research leading to a large portfolio of publications. My experience as a professional statistician has involved work as lecturer, researcher, and statistician for some 30 years in universities and as an independent statistical consultant. I published a popular statistics text book to support my lecture series. My clients have ranged from official organisations such as the Advertising Standards Authority, through law firms and loss adjusters, and through to private companies such as the Boeing Aircraft Company. I am familiar with all the main statistical techniques and software packages.	Europe
AD	Afrah Dirie
	Prof. Barry Quinn	Open science analytics, Cloud computing and financial technology, Financial data science, statistical forecasting, machine learning and predictive analytics.	Europe
	Francis Fuller Bbosa	Impact evaluation, Data mining, Big data, Data modelling, Statistical computing algorithms and application of Machine learning in Health.	Africa

 

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