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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.

	Ramzi Mraidi	Specialized in quantitative analysis, statistical modeling, epidemiology, and data-driven research. Experienced in applying advanced analytical methods to support decision-making, policy development, and evidence generation across health, development, and related sectors.	Worldwide
BFE	Blaise F Egan	Exploratory data analysis; Data visualisation; Forecasting and time series; Samples and surveys; Generalised linear models, Generalised additive models; Bayesian statistics;
	Prof. Barry Quinn	Open science analytics, Cloud computing and financial technology, Financial data science, statistical forecasting, machine learning and predictive analytics.	Europe
	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
	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
	Novri Suhermi	Time Series Forecasting, Statistical Computing, R & Python Programming, Marketing Analytics	Worldwide
AD	Afrah Dirie
	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
	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
	Prof. Dr. Diego Kuonen, CStat PStat	Statistical engineering, statistical thinking, statistics, analytics and data science, including artificial intelligence and machine learning.	Worldwide
TD	Timothy Davis	Engineering	Worldwide
CCP	Chris Chen, PhD	Marketing Research, Sales & Marketing statistical analysis, Credit risk modeling	Worldwide
	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
	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
	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 with R and Keras, 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
MS	Mark Strong
	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
JD	Jean-Martin Dénis	Open government Data \| Data Strategy \| Data Management \| Public administration Data architecture	Europe
	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