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.

Francis Fuller Bbosa Impact evaluation, Data mining, Big data, Data modelling, Statistical computing algorithms and application of Machine learning in Health. Africa

SA

Sabia Akram Psychometrics Educational Assessment Occupational Psychology Assessments SPSS Research Report writing Presenting UK
Richard Huntsinger Worldwide
Dr Clement Twumasi (PhD|CStat|MPhil|BSc.) GLMs, GLMMs, and other non-linear models, Clinical trials, Epidemiology, Stochastic Simulation, Classical Bayesian methods and Approximate Bayesian Computation, Forecasting & Backcasting, Predictive Modelling, Survival analysis, Time series analysis, Probability & Statistical inference, Multivariate analysis, Non-parametric statistics, Agent-based Modelling, Infectious Disease Modelling, Exploratory data analysis, Mathematical Biology, and Design and analysis of experiments, Functional Data Analysis, etc. Worldwide
Ramzi Mraidi Specialized in quantitative analysis, statistical modeling, epidemiology, and data-driven research. Experienced in applying advanced analytical methods to support decision-making, policy development, and evidence generation across health, development, and related sectors. Worldwide
Nana Owusu Mensah Essel

AD

Afrah Dirie

JD

Jean-Martin Dénis Open government Data | Data Strategy | Data Management | Public administration Data architecture Europe
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 with R and Keras, 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

AS

Adam Smith