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.

DJW

Dr Julie Winstanley Questionnaire design and testing, Psychometrics, IRT methods, Online survey methods Worldwide
Muhammad Faisal I offer consultancy services in health data science, specialising in epidemiology, statistical computing, and predictive modelling for clinical decision-making. With extensive experience in exploratory data analysis, multivariate analysis, and causal inference, I help organisations uncover meaningful insights from complex health data. My expertise also includes simulation techniques and statistical inference, ensuring robust and data-driven decision-making. Whether supporting research projects, developing clinical prediction models, or enhancing analytical workflows, I provide tailored guidance to meet specific needs. Worldwide

SA

Sabia Akram Psychometrics Educational Assessment Occupational Psychology Assessments SPSS Research Report writing Presenting UK
Prof. Dr. Diego Kuonen, CStat PStat Statistical engineering, statistical thinking, statistics, analytics and data science, including artificial intelligence and machine learning. Worldwide
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
Prof. Dr. Brijesh Sathian Bio-statistics, Epidemiology, Clinical trials, Statistical Modelling, Public Health Worldwide

RC

Roland Caulcutt Six Sigma - I have trained thousands of blackbelts, greenbelts and managers and supported process improvement projects. Communication - I have run many courses to help data analysts communicate more effectively with managers and other clients. Worldwide

SH

Sara Hilditch

TB

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

IJC

Iain John Clark

MS

Mark Strong
Nomagugu T. Ndlovu Chartered Statistician specializing in environmental and public health analytics, automated data pipelines, Power BI dashboards, relational database systems, statistical modeling, data engineering, and decision-support system

CCP

Chris Chen, PhD Marketing Research, Sales & Marketing statistical analysis, Credit risk modeling Worldwide
Jackie Campbell Applied statistics/data analysis Research design Commissioned research and evaluation 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

BFE

Blaise F Egan Exploratory data analysis; Data visualisation; Forecasting and time series; Samples and surveys; Generalised linear models, Generalised additive models; Bayesian statistics;

GM

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

MG

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