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.

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Timothy Davis Engineering Worldwide
Dr Gbenga Kazeem

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Sara Hilditch

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Shu Lee Data Science and Machine Learning
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
Prof. Dr. Diego Kuonen, CStat PStat Statistical engineering, statistical thinking, statistics, analytics and data science, including artificial intelligence and machine learning. Worldwide

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Chris Naylor Expert systems; Bayesian inferencing using the XMaster expert system shell. Worldwide
Evangelos I. Kritsotakis Prognostic factor research, clinical prediction models, randomised controlled trials, quasi-experimental studies, time series analysis, population-based cohort studies, complex sample surveys, systematic reviews, and meta-analysis. Worldwide
Jackie Campbell Applied statistics/data analysis Research design Commissioned research and evaluation Worldwide

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Dr. Joseph Yose Chartered Statistician and applied mathematician with expertise in industrial statistics, machine learning, process improvement, and Six Sigma methodologies. Currently serving as a Senior Analytics Consultant at Minitab, delivering statistical training and consultancy across manufacturing, R&D, and service sectors. Worldwide
Opeyemi Ogungbola General Statistical Consulting Africa

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Jean-Martin Dénis Open government Data | Data Strategy | Data Management | Public administration Data architecture Europe
Prof. Barry Quinn Open science analytics, Cloud computing and financial technology, Financial data science, statistical forecasting, machine learning and predictive analytics. Europe
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
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
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
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
Seyed Shahmy Time-series Analysis, Clinical Trials, Epidemiological studies, Public Health Policy Analysis Worldwide

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Char Leung
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