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.


Neil Hawkins Health Economics
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


Oscar Mang


Yanyun Wu


Gabriela Czanner Statistics, R, Imaging data, Multivariate Statistics, Hierarchical Modelling.
Barry Quinn Open science analytics, Cloud computing and financial technology, Financial data science, statistical forecasting, machine learning and predictive analytics. Europe


Cyril Connolly Data Visualisation Exploratory Data Analysis Statistical Process Control
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
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
Richard Saldanha Quantitative finance; AI/machine learning; mathematics/statistics. Worldwide


Salomon Millard Mixture modelling, Data Science, Model based clustering
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


Norah Donaldson Biostatistics. Study Design. Health & Quality of Life outcomes. Generalized linear models. Multilevel modelling. Structural equation modelling. Propensity score matching.
Stylianos Kampakis Machine learning Artificial intelligence Bayesian statistics Statistical modelling Medical statitsics Natural language processing Deep learning Recommender systems Forecasting Education
Oliver Hugh Medical Statistician specialising in casual inference and prediction modelling with multiple data structures and models. I have experience with clinical trials, exploratory data analysis and applying models to real-life problems.
Seyed Shahmy Time-series Analysis, Clinical Trials, Epidemiological studies, Public Health Policy Analysis Worldwide


Mike Crowe


Angel Novikov-Jank
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
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