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.


Shirley Coleman Statistical modelling, mining company data, integrating open and business-owned data for business insight, impact case studies. Worldwide


Caroline Whately-Smith Clinical trials, medical writing (stats sections), data monitoring committee work Worldwide


Chris Chen Marketing Research, Sales & Marketing statistical analysis, Credit risk modeling
Prof. Dr. Brijesh Sathian Epidemiology, Bio-statistics, Geriatrics and long term care, Statistical Modelling Worldwide


Martin Gibson International and multi-cultural experience in project leadership, change management, and cross-functional team management to improve bottom line performance through Systems Thinking, 4th Generation Management, Advanced Quality Planning, Lean Six Sigma, Policy Deployment, Failure Mode Avoidance, Robustness and Variation Reduction. UK
Cathy W. S. Chen Time series analysis; Bayesian MCMC methods; Forecasting; Statistical computing; Financial Econometrics; Statistical methods in epidemiology. Worldwide


Ewan Donnachie Health services research; Epidemiology; R Europe
Stefano Bonini Banking & Finance Credit Risk Modeling
Stephen Senn Statistics for drug development Design and analysis of clinical trials Decision analysis Worldwide


Professor Michael G. Schimek For biomedical research, biostatistical and bioinformatical expertise is offered with a special focus on (i) the development of data collection and analysis strategies, (ii) strategies for the extraction of knowledge from data, and (iii) integration (fusion) of data from different sources and of different types. Apart from biomedical applications, various types of data from a wide range of customers in industry, institutions, and administration can be evaluated. A special focus is on (i) the analysis of rating and ranking data, (ii) their integration, also with other types of data, (iii) support for evaluation exercises, and (iv) reporting for decision makers. Europe
Ziad Taib State of the art Statistical Methods for Planning, Analysis and Reporting of Clinical Trials. Decision analysis for Drug Development Projects. Interim Monitoring. Worldwide
Federico de Luca Outputs: drafting substantive and technical reports for specialised and non-specialised audiences, questionnaire design, survey design, survey operations, creation of digital dashboards, dissemination of findings at international events. Previous working experience in international organisations, EdTech, universities (healthcare and social sciences) and consultancy. Use of advanced statistical methods: IRT models, propensity scores matching, difference in differences models, multilevel/panel data regressions, quantile regressions, Heckman’s sample selection models. Europe


Lynsey Mccoll SELECT STATISTICAL SERVICES LTD Select Statistics provides a comprehensive statistical consultancy service that brings value to our clients through our professional solutions, services and training. 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. No project is too big or small. To some we are statistical analysts, to others we are data scientists or statistical consultants. Whatever terminology you prefer, what characterises and drives us is identifying and using the best statistical tools to achieve greater understanding, improve decision making and solve practical problems for our clients. Our aim is always to deliver high quality products and services for our clients and we are especially happy to help clients develop internal expertise so that they can understand and use statistical techniques themselves. For more details and case studies please visit the Select Statistics website as shown on the Contact Details tab. Worldwide
Marie Oldfield Artificial Intelligence and Ethics, Consultancy, Analytics, Data Science, Machine Learning, Statistics, Expert Testimony, Statistics, Modelling, Leadership, Soft Skills, Communication, Training, Maths, Operational Research, Philosophy, Project Management, TV formats, Systems, CBRN, Government, Defence, Process Management, Stakeholder Management, Business Intelligence, Business Cases, Lean, Six Sigma, DV, SC, Aerospace, Change Management, Analysis. Worldwide


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


Carlin Chun-Fai Chu AI, Data mining, Statistical computation


Rameshwar Srivastava


Gloria Crispino Biostatistics, Experimental design, clinical research
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 Pay Gap Analysis, Equal Pay Audits, HR Data Analysis Training, Disability Pay Gap, 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 EXPERT WITNESS & ADVICE SERVICES Expert advice, statistical expert, stats advice Worldwide
Barry Quinn Financial data science, statistical forecasting, machine learning and predictive analytics.