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.

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
Jackie Campbell Applied statistics/data analysis Research design Commissioned research and evaluation Worldwide

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Chris Naylor Expert systems; Bayesian inferencing using the XMaster expert system shell. Worldwide
Francis Fuller Bbosa Impact evaluation, Data mining, Big data, Data modelling, Statistical computing algorithms and application of Machine learning in Health. Africa

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Adam Smith
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
Jason West Bayesian analysis. Statistical methods. Epidemiology. Data science. Worldwide

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Michael Baxter Censuses Surveys Price indices Television monitoring UK
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
Gabriella Debreczeni People Analytics (Business, Education, Healthcare, other public services). Regression analysis, survival methods in people data. Statistical programming in R. General statistical consulting. Worldwide
Professor Jane L Hutton Expert witness and forensic statistics Life expectancy; cerebral palsy, injuries to neural system. Adverse effects of drug and medical devices. Commercial disputes related to medicines and medical devices. Validity and reliability of data. Epidemiology. Statistics and ethics. Worldwide

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Sara Hilditch
Dr Ian Hunt Statistics and probability reasoning for forensic science/forensic statistics, expert witness statements/expert evidence (criminal and civil law), agri-food experiments, medical trials and investment finance analysis. Worldwide

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Timothy Davis Engineering Worldwide

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Giovanni Montana Machine learning, computer vision, medical imaging, deep reinforcement learning Worldwide

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Stephen Azeez Stephen Azeez is a Statistical Consultant specializing in applying advanced statistical methods to solve complex real-world problems across quant, risk modeling, predictive analytics, and decision systems. His expertise includes stochastics, forecasting, non-parametric statistics, numerical analysis and optimization, expert systems, spatial statistics, statistical computing, and inference. With a focus on bridging quantitative techniques and business strategy, Stephen has delivered impactful solutions in financial services and technology sectors, developing robust models, scalable analytical frameworks, and actionable insights that drive informed decision-making. He also contributes to the field through publications, academic supervision, and peer review in AI and applied statistics. Worldwide

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Tine Descamps, PhD Biomarker statistics Companion Diagnostics and 510(k) Clinical trials and preclinical Worldwide
Jo Morrison I am a consultant with the team at Select Statistics. We work in partnership with our clients providing independent statistical advice, support and analysis. Our clients range from large companies to individual researchers, working in a wide variety of fields. See our website for more details. I have over 20 years’ experience working as a statistician in education research. My experience includes analysing government and international datasets, linear regression and multilevel (mixed effects) modelling, item analysis and IRT, age-standardisation, sample size calculations, analysis of RCTs, survey design, analysis of surveys and factor analysis. A key part of the consultancy role is communicating results of complex analyses in accessible ways to non-statisticians. Worldwide

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Shu Lee Data Science and Machine Learning
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