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.

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

CN

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

MB

Michael Baxter Censuses Surveys Price indices Television monitoring UK

SB

Samuel Bosomprah Biostatistics and Epidemiology

JD

Jean-Martin Dénis Open government Data | Data Strategy | Data Management | Public administration Data architecture Europe

CCP

Chris Chen, PhD Marketing Research, Sales & Marketing statistical analysis, Credit risk modeling Worldwide
Novri Suhermi Time Series Forecasting, Statistical Computing, R & Python Programming, Marketing Analytics Worldwide
Evangelos I. Kritsotakis Prognostic factor research, clinical prediction models, randomised controlled trials, quasi-experimental studies, time series analysis, population-based cohort studies, complex sample surveys, systematic reviews, and meta-analysis. Worldwide

SH

Sara Hilditch

GC

Graeme Campbell

AS

Adam Smith
Jo Morrison I am a consultant with the team at Select Statistics. We work in partnership with our clients providing independent statistical advice, support and analysis. Our clients range from large companies to individual researchers, working in a wide variety of fields. See our website for more details. I have over 20 years’ experience working as a statistician in education research. My experience includes analysing government and international datasets, linear regression and multilevel (mixed effects) modelling, item analysis and IRT, age-standardisation, sample size calculations, analysis of RCTs, survey design, analysis of surveys and factor analysis. A key part of the consultancy role is communicating results of complex analyses in accessible ways to non-statisticians. Worldwide
Lynsey Mccoll I am the Managing Director of Select Statistics. We work in partnership with our clients by combining statistical expertise with industry knowledge to extract actionable insights from data, improve decision making and drive business growth. We operate across a broad range of sectors and offer a wide variety of services that can all be tailored to meet your unique requirements. Our clients range from large international corporations and public sector bodies to SME’s and private individuals. Worldwide

SL

Shu Lee Data Science and Machine Learning
Kyle Gomez 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
Francis Fuller Bbosa Impact evaluation, Data mining, Big data, Data modelling, Statistical computing algorithms and application of Machine learning in Health. Africa
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