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.

Seyed Shahmy Time-series Analysis, Clinical Trials, Epidemiological studies, Public Health Policy Analysis Worldwide
Nana Owusu Mensah Essel
Nigel Marriott I specialise in the following 5 areas. For more details and case studies please visit my website or my LinkedIn profile as shown on the Contact Details tab. SURVEY DESIGN Sample size calculation, questionnaire design, imputation models, acceptance sampling, decision rules, sample design, market research. DIVERSITY & PAY GAP ANALYTICS Gender Pay Gap Modelling, Ethnicity Representation Gap Analysis, Equal Pay Audits, HR Data Analysis Training, Disability Pay Gaps, Diversity and Inclusion Statistics FORECASTING & RISK MODELS Forecasts, business planning, risk analysis, decision science, trend analysis, projections EXPERT WITNESS & ADVICE SERVICES Expert advice, statistical expert, stats advice STATISTICAL TRAINING COURSES Basic Stats Courses, Statistical Thinking, Identifying Trends and Making Forecasts, Multivariate Analysis, Hypothesis Testing Worldwide
Albert Chau Clinical Trials, Drug Development, Phase I-IV Trials, Oncology, Cancer, Statistics, SAS Programming, CDISC, Data Management, Data Science, Survival Analysis Worldwide

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Mark Strong
Novri Suhermi Time Series Forecasting, Statistical Computing, R & Python Programming, Marketing Analytics Worldwide
Jo Morrison I am a consultant with the team at Select Statistics. We work in partnership with our clients providing independent statistical advice, support and analysis. Our clients range from large companies to individual researchers, working in a wide variety of fields. See our website for more details. I have over 20 years’ experience working as a statistician in education research. My experience includes analysing government and international datasets, linear regression and multilevel (mixed effects) modelling, item analysis and IRT, age-standardisation, sample size calculations, analysis of RCTs, survey design, analysis of surveys and factor analysis. A key part of the consultancy role is communicating results of complex analyses in accessible ways to non-statisticians. Worldwide

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Giovanni Montana Machine learning, computer vision, medical imaging, deep reinforcement learning Worldwide
Dr Clement Twumasi (PhD|CStat|MPhil|BSc.) GLMs, GLMMs, and other non-linear models, Clinical trials, Epidemiology, Stochastic Simulation, Classical Bayesian methods and Approximate Bayesian Computation, Forecasting & Backcasting, Predictive Modelling, Survival analysis, Time series analysis, Probability & Statistical inference, Multivariate analysis, Non-parametric statistics, Agent-based Modelling, Infectious Disease Modelling, Exploratory data analysis, Mathematical Biology, and Design and analysis of experiments, Functional Data Analysis, etc. Worldwide

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Mihir Gandhi Expertise in oncology, child growth & development, and health-related quality of life studies, health economics/health service research

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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
Francis Fuller Bbosa Impact evaluation, Data mining, Big data, Data modelling, Statistical computing algorithms and application of Machine learning in Health. Africa
Opeyemi Ogungbola General Statistical Consulting Africa
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
Dr Rhian Davies Reproducible Analytical Pipelines, Public Health, Quality Assurance of statistical models, R package development, R Shiny app development and deployment, R training Worldwide

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Jean-Martin Dénis Open government Data | Data Strategy | Data Management | Public administration Data architecture Europe

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Shu Lee Data Science and Machine Learning

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