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

SL	Shu Lee	Data Science and Machine Learning
AS	Adam Smith
	David Boniface	I began my career as a Medical Research Council statistician in the 1970’s and have specialised in solving statistical problems arising in medical and behavioural research leading to a large portfolio of publications. My experience as a professional statistician has involved work as lecturer, researcher, and statistician for some 30 years in universities and as an independent statistical consultant. I published a popular statistics text book to support my lecture series. My clients have ranged from official organisations such as the Advertising Standards Authority, through law firms and loss adjusters, and through to private companies such as the Boeing Aircraft Company. I am familiar with all the main statistical techniques and software packages.	Europe
	Dr Gbenga Kazeem
	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
TD	Timothy Davis	Engineering	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
	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
	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
MB	Michael Baxter	Censuses Surveys Price indices Television monitoring	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
IJC	Iain John Clark
	Prof. Dr. Diego Kuonen, CStat PStat	Statistical engineering, statistical thinking, statistics, analytics and data science, including artificial intelligence and machine learning.	Worldwide
	Paul Lee	I specialise in clinical trials, epidemiological studies, survey analysis and psychometrics. My experience includes randomised and cluster-randomised trials, longitudinal cohorts, questionnaire validation and lifestyle epidemiology. Particular interests include mental health, physical activity, sleep and measurement methods. I support projects from protocol development through analysis, interpretation and publication.	Worldwide
	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
	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
	Prof. Barry Quinn	Open science analytics, Cloud computing and financial technology, Financial data science, statistical forecasting, machine learning and predictive analytics.	Europe
SH	Sara Hilditch
	Catriona Keerie	Clinical trials design and methodology, sample size estimation, statistical analyses, SAS software, medical device evaluations, meta-analyses, systematic reviews, routinely collected data	UK
	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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