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

OM	Oscar Mang
CC	Cyril Connolly	Data Visualisation Exploratory Data Analysis Statistical Process Control
YW	Yanyun Wu
ND	Norah Donaldson	Biostatistics. Study Design. Health & Quality of Life outcomes. Generalized linear models. Multilevel modelling. Structural equation modelling. Propensity score matching.
	Seyed Shahmy	Time-series Analysis, Clinical Trials, Epidemiological studies, Public Health Policy Analysis	Worldwide
AN	Angel Novikov-Jank
PC	Peter Ceuppens	Specialist in experimental design for both process/assay optimisation (in-vitro and in-vivo) and also for design and analysis of pivotal animal in-vivo experiments. Statistical training, particularly for scientists. Clinical pharmacology neuroscience and infection. Regulatory and investigative safety toxicology including reproductive, genetic and carcinogenicity. Safety pharmacology. Multivariate data analysis. Translational medicine including biomarker discovery and qualification. Data visualisation and interpretation.
	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
	Nigel Marriott	I specialise in the following 5 areas. For more details and case studies please visit my website or my LinkedIn profile as shown on the Contact Details tab. SURVEY DESIGN Sample size calculation, questionnaire design, imputation models, acceptance sampling, decision rules, sample design, market research. DIVERSITY & PAY GAP ANALYTICS Gender Pay Gap Modelling, Ethnicity Representation Gap Analysis, Equal Pay Audits, HR Data Analysis Training, Disability Pay Gaps, Diversity and Inclusion Statistics FORECASTING & RISK MODELS Forecasts, business planning, risk analysis, decision science, trend analysis, projections STATISTICAL TRAINING COURSES Basic Stats Courses, Statistical Thinking, Identifying Trends and Making Forecasts, Multivariate Analysis, Hypothesis Testing EXPERT WITNESS & ADVICE SERVICES Expert advice, statistical expert, stats advice	Worldwide
RS	Rameshwar Srivastava
	Andrew Kingston	Microsimulation, healthy life expectancy, time-to-event analysis, multistate modelling, group based trajectory modelling, joint models, analysis of repeated meaures, analysis of longitudinal data, analysis of categorical data (cross-sectional and longitudinal), multivariate and multivariable analyses, R, Stata
	Stylianos Kampakis	Machine learning Artificial intelligence Bayesian statistics Statistical modelling Medical statitsics Natural language processing Deep learning Recommender systems Forecasting Education
	Dr Sandhya Patidar	Developing application-specific tailored solutions (in form of hybrid models) for real-world problems through the novel application of a range of Mathematical/Statistical/Computational models. With her broad educational and extensive inter-disciplinary work experience, she has developed skills to analyse, model, or visualise all kinds of datasets (large/small, primary/secondary) using a range of mathematical/statistical/AI-based approaches.	Worldwide
GC	Gabriela Czanner	Statistics, R, Imaging data, Multivariate Statistics, Hierarchical Modelling.
	Anthony Hatswell
	Dr Rhian Davies	- R package development - R Shiny app development and deployment - Reproducible research - Best practices for software development - Data visualisation - Exploratory Data Analysis - Classification and Clustering - Patter Detection and Image Analysis - Time Series Analysis	Worldwide
	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
	Richard Saldanha	Quantitative finance; AI/machine learning; mathematics/statistics.	Worldwide
	Barry Quinn	Open science analytics, Cloud computing and financial technology, Financial data science, statistical forecasting, machine learning and predictive analytics.	Europe
	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

 

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