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.

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
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
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
Prof. Dr. Brijesh Sathian Bio-statistics, Epidemiology, Clinical trials, Statistical Modelling, Public Health Worldwide

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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
Gilbert Mackenzie Statistical Model Development. Survival and Event History. Non-PH and & Parametric Models. Covariance Modelling in longitudinal studies.Design and Analysis of Longitudinal RCTs. Interval Censoring. GLMMs. R. SPSS. I was a Medical statistician for 30 years in QUB , Belfast, UK; Professor of Medical Statistics at Keele University in the UK and Director of the Centre of Medical Statistics; Professor of Statistics in the University of Limerick and Director of the Centre of Biostatistics and finally Visiting Professor of Statistics at ENSAI, Bruz, Rennes, France.
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. EXPERT WITNESS & ADVICE SERVICES Expert advice, statistical expert, stats advice 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 STATISTICAL TRAINING COURSES Basic Stats Courses, Statistical Thinking, Identifying Trends and Making Forecasts, Multivariate Analysis, Hypothesis Testing Worldwide
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

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

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Timothy Davis Engineering 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
Dr Marie Oldfield At Oldfield Consultancy we provide AI Assurance consultancy, expert witness input for the legal profession and statistics. We work with cutting edge analytical solutions encompassing Legal Expert Witness (DNA, Fraud, Homicide etc), Court compliant reporting, AI, Statistics, Modelling, Training, Data Science and Ethics. www.oldfieldconsultancy.co.uk. Some Past Clients: Oil and Gas, Lawyers, Barristers, Scoliosis SOS, Royal Navy, Royal Air Force, British Army, CPS, UK MOD, UK Gov, MOJ, NATO, Broadcast Media & multiple Universities. At Fractal AI we are a non profit providing AI Accreditation, research and training for AI professionals www.fractalai.org.uk. 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

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Mihir Gandhi Expertise in oncology, child growth & development, and health-related quality of life studies, health economics/health service research
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
Prof. Barry Quinn Open science analytics, Cloud computing and financial technology, Financial data science, statistical forecasting, machine learning and predictive analytics. Europe