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.

Specialisms

Name

City/Town

Postcode

Region Please Select Africa Asia Europe North America UK Worldwide

Areas of consultancy

• Applied operational research
• Bayesian methods
• Bioassay
• Calibration
• Censuses and surveys
• Clinical trials
• Design and analysis of experiments
• Epidemiology
• Expert systems
• Exploratory data analysis
• Forecasting
• GLMs and other non-linear models
• Graphics
• Multivariate analysis
• Neural networks and genetic algorithms
• Non-parametric statistics
• Numerical analysis and optimisation
• Pattern recognition and image analysis
• Probability
• Quality methodology
• Reliability
• Sampling
• Simulation
• Spatial statistics
• Statistical computing
• Statistical inference
• Survival analysis
• Time series

Search Clear your choices

AS	Adam Smith
SA	Sabia Akram	Psychometrics Educational Assessment Occupational Psychology Assessments SPSS Research Report writing Presenting	UK
	Evangelos I. Kritsotakis	Prognostic factor research, clinical prediction models, diagnostic accuracy studies, randomised controlled trials, quasi-experimental studies, interrupted time series designs, population-based cohort studies, case-control studies, complex sample surveys, systematic reviews, and meta-analyses.	Worldwide
SB	Samuel Bosomprah	Biostatistics and Epidemiology
SL	Shu Lee	Data Science and Machine Learning
GM	Giovanni Montana	Machine learning, computer vision, medical imaging, deep reinforcement learning	Worldwide
	Prof. Dr. Diego Kuonen, CStat PStat	Statistical engineering, statistical thinking, statistics, analytics and data science, including artificial intelligence and machine learning.	Worldwide
	Seyed Shahmy	Time-series Analysis, Clinical Trials, Epidemiological studies, Public Health Policy Analysis	Worldwide
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
	Jason West	Bayesian analysis. Statistical methods. Epidemiology. Data science.	Worldwide
	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
JH	John Henstridge	John has worked in a number of fields, including time series (especially signal processing), surveys and modelling. He is frequently called upon as an expert witness in legal matters.	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
	Opeyemi Ogungbola	General Statistical Consulting	Africa
MS	Mark Strong
	Prof. Dr. Brijesh Sathian	Bio-statistics, Epidemiology, Clinical trials, Statistical Modelling, Public Health	Worldwide
	Prof. Barry Quinn	Open science analytics, Cloud computing and financial technology, Financial data science, statistical forecasting, machine learning and predictive analytics.	Europe
	A Rosemary Tate	Medical statistics and epidemiology. Machine learning and computer science. Analysis of electronic health records. Multivariate statistics and statistical pattern recognition. Analysis and design of surveys. DATA QUALITY, Data visualisation.	Worldwide
	Dr Gbenga Kazeem

 

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