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.

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

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Shu Lee Data Science and Machine Learning

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Roland Caulcutt Six Sigma - I have trained thousands of blackbelts, greenbelts and managers and supported process improvement projects. Communication - I have run many courses to help data analysts communicate more effectively with managers and other clients. Worldwide

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Adam Smith
Gabriella Debreczeni People Analytics (Business, Education, Healthcare, other public services). Regression analysis, survival methods in people data. Statistical programming in R. General statistical consulting. Worldwide
Prof. Dr. Brijesh Sathian Bio-statistics, Epidemiology, Clinical trials, Statistical Modelling, Public Health Worldwide

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Dr Julie Winstanley Questionnaire design and testing, Psychometrics, IRT methods, Online survey methods Worldwide

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Afrah Dirie

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Sabia Akram Psychometrics Educational Assessment Occupational Psychology Assessments SPSS Research Report writing Presenting UK
Jackie Campbell Applied statistics/data analysis Research design Commissioned research and evaluation 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
Novri Suhermi Time Series Forecasting, Statistical Computing, R & Python Programming, Marketing Analytics Worldwide
Francis Fuller Bbosa Impact evaluation, Data mining, Big data, Data modelling, Statistical computing algorithms and application of Machine learning in Health. Africa
Faisal Khamis Applied Multivariate Statistics, Applied Social Statistics, Econometrics, Mortality, Epidemiology, Biostatistics, Spatial and Temporal Statistics, Time Series Analysis and Forecasting, Regression Analysis, Structural Equations Modeling. Worldwide
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

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Chris Naylor Expert systems; Bayesian inferencing using the XMaster expert system shell. Worldwide

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Tine Descamps, PhD Biomarker statistics Companion Diagnostics and 510(k) Clinical trials and preclinical Worldwide

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John Henstridge
Kyle Gomez Europe
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