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.

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

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Char Leung

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Tine Descamps, PhD Biomarker statistics Companion Diagnostics and 510(k) Clinical trials and preclinical Worldwide

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Dr Julie Winstanley Questionnaire design and testing, Psychometrics, IRT methods, Online survey methods Worldwide

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Thomas Brown Data Analysis, Lean Manufacturing, Optimisation Projects, Predictive Analytics, KPI Reporting, Six Sigma, Quality Control & Mapping, Programming, Process Modelling, Method Validation. UK

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Mihir Gandhi Expertise in oncology, child growth & development, and health-related quality of life studies, health economics/health service research
Dr Ian Hunt Statistics and probability reasoning for forensic science, expert witness statements/expert evidence (criminal and civil law), agri-food experiments, medical trials and investment finance analysis. Worldwide
Prof. Dr. Diego Kuonen, CStat PStat Statistical engineering, statistical thinking, statistics, analytics and data science, including artificial intelligence and machine learning. Worldwide

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Adam Smith

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Dr. Joseph Yose Chartered Statistician and applied mathematician with expertise in industrial statistics, machine learning, process improvement, and Six Sigma methodologies. Currently serving as a Senior Analytics Consultant at Minitab, delivering statistical training and consultancy across manufacturing, R&D, and service sectors. Worldwide

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Chris Chen, PhD Marketing Research, Sales & Marketing statistical analysis, Credit risk modeling Worldwide
Prof. Barry Quinn Open science analytics, Cloud computing and financial technology, Financial data science, statistical forecasting, machine learning and predictive analytics. Europe

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Afrah Dirie
Seyed Shahmy Time-series Analysis, Clinical Trials, Epidemiological studies, Public Health Policy Analysis Worldwide

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Michael Baxter Censuses Surveys Price indices Television monitoring UK

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Sabia Akram Psychometrics Educational Assessment Occupational Psychology Assessments SPSS Research Report writing Presenting UK
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
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
Min Sun Data science in general, including but not limited to - Statistical modelling on multivariate and infinite dimensional variables with dimensional reduction, e.g. functional data analysis, GLM, mixed effect model, LASSO, Bayesian inference, survival analysis, circular statistics - Power/sample size calculation - Simulation - Statistical computing - Machine learning and deep learning, e.g. classification, clustering and image analysis - Non-parametric statistics - Applied operational research - System of differential equations - Graph theory & abstract algebra with applications to data analysis - Optimisation, with custom loss function Worldwide
Gilbert Mackenzie Statistical Model Development. Survival and Event History. Non-PH and & Parametric Models. Covariance Modelling in longitudinal studies.Design and Analysis of Longitudinal RCTs. Interval Censoring. GLMMs. R. SPSS. I was a Medical statistician for 30 years in QUB , Belfast, UK; Professor of Medical Statistics at Keele University in the UK and Director of the Centre of Medical Statistics; Professor of Statistics in the University of Limerick and Director of the Centre of Biostatistics and finally Visiting Professor of Statistics at ENSAI, Bruz, Rennes, France.