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

APDM	Anne Pinot De Moira	I have a very strong background in statistics. I have first-hand experience of both qualitative and quantitative research. I have analysed data using parametric and non-parametric statistics, using sophisticated models but also using graphical representation to simplify findings. I regularly deal with data extracted from large datasets, collected by experimental design and resulting from questionnaires. In the context of my assessment and education research, I have considered a diverse range of issues relating to standards, the design of mark schemes, the identification of errant examiners, learner approaches and marking reliability. I maintain a keen interest in new developments in the field of statistics but regard the communication of statistical analyses as my greatest strength.
TB	Thomas Brown	Data Analysis, Lean Manufacturing, Optimisation Projects, Predictive Analytics, KPI Reporting, Six Sigma, Quality Control & Mapping, Programming, Process Modelling, Method Validation.
TD	Timothy Davis	Engineering	Worldwide
	Diego Kuonen	Statistical thinking, statistical engineering, statistics, data science, data mining, business analytics, big data analytics and related software.	Worldwide
DB	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
SF	Shaun Flanagan	Data Collection; Data Quality; Data Governance; Data Analysis, Data Systems, Scoping Data & Management Information needs, Team leader; GDPR, Operating at senior levels including Ministers and CEO's Embedding a data culture across an organisation
MG	Martin Gibson	International and multi-cultural experience in project leadership, change management, and cross-functional team management to improve bottom line performance through Systems Thinking, 4th Generation Management, Advanced Quality Planning, Lean Six Sigma, Policy Deployment, Failure Mode Avoidance, Robustness and Variation Reduction.
SB	Stefano Bonini	Banking & Finance Credit Risk Modeling
	Richard Ball	Machine Learning, Data Science, Databases, Python, SQL, Anomaly Detection, Fraud Detection	Worldwide
CMC	Chi Ming Chen	Marketing Research, Sales & Marketing statistical analysis, Credit risk modeling
AO	Anthony O'Hagan	Bayesian methods and applications, particularly developing novel solutions to difficult problems. Elicitation of expert knowledge. Assurance analysis for drug development. Cost-effectiveness analysis for pharmaceuticals. Training in Bayesian statistics, cost-effectiveness analysis, elicitation, model uncertainty. Some experience in legal work.	Worldwide
	Paul Hewson	- Administrative, census, survey and web event data. - Visualisation and modelling; communicating to end users and ensuring actionable intelligence is gained. - Bayesian and spatial modelling, small area estimation - Road injury analysis - Statistical computing, CI/CD for data science
SB	Samuel Bosomprah	Biostatistics and Impact Evaluation
DW	David Warne	Infertility Research, Statistical Research, Process Management, Quality Management, Outsourcing. Standards, Regulatory Guidances, People Management, Cross-Cultural Experience, Computing skills.
	Frank Rockhold	Dr. Rockhold has diverse research interests and consulting experience in industry and academia including clinical trials design, data monitoring, benefit/risk, and most recently, safety and pharmacovigilance and has been a leader in the scientific community in promoting data disclosure and transparency in clinical research. Frank is widely published in major scientific journals across a wide variety of research topics.	Worldwide
ICG	Isobel Claire Gormley	- Clustering and classification methods. - Variable/feature selection. - Multivariate analysis. - High dimensional data modelling. - Longitudinal data analysis. - Metabolomic and genomic data modelling. - Modelling rank data. - Survey data analysis. - Statistical software expertise (mostly R) and proficient in C.
JH	Jane Hutton	Life expectancy; cerebral palsy, injuries to neural system.
	Gemma Hodgson	Statistics Training, Analysis & Consulting in the sensory & consumer, manufacturing and pharmaceutical industries. Some typical examples could be: Understanding how to design experiments to make them efficient and increase chances of finding an answer to your problem; A hands on course using a stats software package in fundamental statistical concepts (e.g. variance, confidence intervals, p-values, hypothesis testing, analysis of variance (ANOVA), correlation and regression) to help you get started; Principal Components Analysis (PCA) to understand how variables are linked; Partial Least Squares (PLS) Regression to link sensory panel data and consumer liking or intent to purchase data...and many more! As a small business we do not have the red tape and constricting procedures that some big companies bring so we are able to be completely flexible - no problem too big or small.
DLT	Derek Lai Teik	Structural Equation Modeling Data Mining Big Data SPSS
AP	Aura Popa	• Data science and advanced analytics technical applications offering bespoke data driven solutions to Market Research industry (Data Validation and Cleaning, Data Processing and Reporting, Basic Statistics, TURF Analysis, Key drivers analysis, Text Analytics, Spatial Statistics, Brand Mapping, Data Reduction, Decision Trees, Optimum Price Modelling, Data Visualisation, RFM Analysis, Customer Segmentation, Predictive analytics, Multichoice Discrete Models (MaxDiff, Conjoint)) • Customed Tailored Dashboards to answer your company needs • Customed Tailored Training to answer your employees needs in Basic Stats, SPSS, Excel

 

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