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.


Caroline Whately-Smith Clinical trials, medical writing (stats sections), data monitoring committee work 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.
Prof. Dr. Brijesh Sathian Epidemiology, Bio-statistics, Statistical Modelling Worldwide


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


Faisal Khamis Applied Multivariate Statistics, Social Science, Economics, Public Health, Mortality, Epidemiology, Spatial and Temporal Statistics. Worldwide


Samuel Bosomprah Biostatistics and Impact Evaluation


Marie Watissee Biostatistics, various therapeutic areas and phases


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


Andrew Stone Oncology Trial Design Data analysis and interpretation IDMC


Neil Spencer Data management, data analysis, statistical computing, survey design and analysis. Worldwide
Diego Kuonen Statistical thinking, statistical engineering, statistics, data science, data mining, business analytics, big data analytics and related software. Worldwide


Fiona Brock Human medicine, veterinary medicine


Leonardo Da Costa Cremonezi Supporting and developing new and advanced technical applications for use within the Market Research industry (public and private sector clients) Writing proposals for and specifying Technical Design requirements on projects Representing the company at client meetings where statistical technical matters are discussed; Co-ordinating statistical analysis requirements for the company, providing internal and external training where appropriate Data manipulation (SPSS and other statistical software) Writing technical development papers and presenting on research topics at conferences; Example: Developing specifications for and checking statistical survey requirements on research surveys Responsible for stats trainings. For more information, please check


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.
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


Philip Crook My principal interest nowadays is in the way data (qualitative and quantitative) and statistics are used for monitoring and evaluation of development projects, and in particular the construction of realistic and timely monitoring systems. My other area of interest relates to National Statistical Development Strategies and the revitalisation of statistical systems in developing countries, particularly with the launch of the post-2015 agenda. My strength is in communicating with non-statisticians and in quickly understanding the essence of a development programme, leading to effective indicators of progress. Worldwide


Derek Lai Teik Structural Equation Modeling Data Mining Big Data SPSS


Guan Koon Ong Clinical Trials, Product Development,


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


Stephen Senn Statistics for drug development Design and analysis of clinical trials Decision analysis Worldwide