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.

Kevin Hon Yin Hau Scorecard, Linear / Logistics / Non-linear / Quantile regression, Automation, Time Series, Simulation, GLM, Survival Analysis, Risk Modelling, Pricing, Forecast, Data Cleansing, Experimental Design, Financial Modelling, Graphical Design, Erlang-C Model, Tree Decision, Random Forrest, AutoML Program: SAS, R, VBA, SQL, Tableau

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Sara Hilditch
Seyed Shahmy Time-series Analysis, Clinical Trials, Epidemiological studies, Public Health Policy Analysis Worldwide

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Char Leung

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Michael Baxter Censuses Surveys Price indices Television monitoring UK
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

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Mark Strong
Piotr Fryzlewicz Statistics and data science consulting services in: statistical modelling and simulation; time series analysis including time series forecasting; predictive analytics including predictive regression modelling; statistical computing in R; statistical learning and machine learning including deep learning; change-point detection; high-dimensional statistical inference and dimension reduction; quantitative finance. Statistics and data science training courses in: general statistics and machine learning, predictive regression modelling, deep learning, time series analysis including forecasting, basic and advanced R, statistics in finance. (Please contact me if you are interested in a course on a topic not listed here.) 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
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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Jean-Martin Dénis Open government Data | Data Strategy | Data Management | Public administration Data architecture Europe
Richard Saldanha Quantitative finance; AI/machine learning; mathematics/statistics. Worldwide

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Chris Naylor Expert systems; Bayesian inferencing using the XMaster expert system shell. Worldwide

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