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.


John Mckellar Pharmaceutical Statistics Key areas commonly supported: Pharmaceutical; Medicine, Medical; Devices; Submission; Insurance; R&D; Regulatory; Training; Logistics; Sales; Marketing; Manufacturing. Key words for statistical techniques: Sample size; Design of Experiments; Surveys; Questionnaires; Data Management; Data Quality; Exploratory data analyses; Data summaries; Classification models. Worldwide


Jean Mcewan Research Design / Data Analysis and Interpretation / Sensometrics Sensory & Consumer Sciences Food, Drink and Related Industries / Beverage Alcohol Training, Coaching and Mentoring Resource to Cover Short and Longer Term Client Needs – Industry, Agencies, Research Organisations


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


Andrew Butler FMG Consumer Healthcare OralCare


Neil Spencer Data management, data analysis, statistical computing, survey design and analysis. Worldwide


Ranjith Perera Scorecards; Credit, Market,Operational and Conduct risk (model building,monitoring and validation); IRB and IFRS models; Stress testing; Forecasting and impairment modelling; General statistical modelling and SAS and R programming Europe


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


D.M. Basavarajaiah Statistical theory and Methods, Statistical modeling of data from broader field of life science, including Social research, Operational research, Human genetics, Genetic Statistics, Biomedical and clinical research.


Laura Harris Retail, Telecommuncations, Public Sector, Marketing, Campaign analysis, Churn Insight and Modelling, Upsell/Cross-sell analysis, Acquisition Insight and Modelling, Education, Employee Analysis, GIS, SAS, SPSS, SQL, R, Mapinfo


Peter Ceuppens Specialist in experimental design for both process/assay optimisation (in-vitro and in-vivo) and also for design and analysis of pivotal animal in-vivo experiments. Statistical training, particularly for scientists. Clinical pharmacology neuroscience and infection. Regulatory and investigative safety toxicology including reproductive, genetic and carcinogenicity. Safety pharmacology. Multivariate data analysis. Translational medicine including biomarker discovery and qualification. Data visualisation and interpretation.
Frank Rockhold Dr. Rockhold has diverse research interests and consulting experience in industry and academia including clinical trials design, data monitoring, benefit/risk, and most recently, safety and pharmacovigilance and has been a leader in the scientific community in promoting data disclosure and transparency in clinical research. Frank is widely published in major scientific journals across a wide variety of research topics. Worldwide


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


Jo Morrison Analysis of publicly available education datasets, e.g. National Pupil Database, PISA & TIMSS international studies. Application of statistical techniques such as multilevel modelling and item response theory. Design and analysis of surveys.


Anthony O'Hagan Bayesian methods and applications, particularly developing novel solutions to difficult problems. Elicitation of expert knowledge. Assurance analysis for drug development. Cost-effectiveness analysis for pharmaceuticals. Training in Bayesian statistics, cost-effectiveness analysis, elicitation, model uncertainty. Some experience in legal work. Worldwide


Shaun Flanagan Data Collection; Data Quality; Data Governance; Data Analysis, Data Systems, Scoping Data & Management Information needs, Team leader; GDPR, Operating at senior levels including Ministers and CEO's Embedding a data culture across an organisation


Thomas Brendan Murphy Clustering, classification, data mining, high dimensional data, computational statistics


Matthew Sperrin Medical statistics, Epidemiology.


A Rosemary Tate Medical statistics and epidemiology. Analysis of electronic health records. Multivariate statistics and statistical pattern recognition. Analysis of survey data. data quality. Data visualisation. Worldwide


Dr. Abdel-Salam Abdel-Salam Economic Capital Models, Regression Analysis, Mixed Models, Nonparametric and Semiparametric Regression, Exploratory and Robust Data Analysis, Profile Monitoring, Biostatistics, Quality Control, Quality Improvement, Industrial and Medical Applications, Operations Research, Multivariate Analysis, Health-related monitoring and prospective public health surveillance.


Rachael Lawrance Design, analysis and reporting clinical trial data Statistical consulting for Pharma/Healthcare companies Analysis of Patient Reported Outcomes