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.


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.
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


Kuldeep Kumar Time Series Analysis, Forecasting, Statistical Modelling, Bankruptcy Prediction, Fraud Detection, Data Mining, Pattern Recognition, Data Analytics, Big Data Worldwide


Joseph Mojekwu Social Statistics
Shravan Vasishth Bayesian data analysis, Stan, hierarchical (linear mixed) modeling, psychology, linguistics, psycholinguistics, cognitive science, computational models of cognitive processes


David Warne Infertility Research, Statistical Research, Process Management, Quality Management, Outsourcing. Standards, Regulatory Guidances, People Management, Cross-Cultural Experience, Computing skills.


Giovanni Montana Machine learning, multivariate analysis, deep reinforcement learning Worldwide


Olusanya Olubusoye My area of specialization is econometric analysis and macroeconometric modelling. I have proficiency in formulating models for policy analysis, simulations and forecasting using popular packages like EViews, TSP and Stata.


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


Rachael Lawrance Design, analysis and reporting clinical trial data Statistical consulting for Pharma/Healthcare companies Analysis of Patient Reported Outcomes


Timothy Davis Engineering Worldwide


Thomas Brown Data Analysis, Lean Manufacturing, Optimisation Projects, Predictive Analytics, KPI Reporting, Six Sigma, Quality Control & Mapping, Programming, Process Modelling, Method Validation.


Melanie Wakelin I mainly work in medical research and have considerable experience in the design and analysis of clinical trials. My involvement in study design and analysis includes trials of medical devices, pharmaceutical products and non-pharmaceutical interventions in primary care. I have been involved in a large number of trials in the areas of women's health and dermatology. Outside of clinical research I also provide consultancy services in relation to non-clinical research and in particular assay development and validation. I have a strong academic background in biology as well as statistics and find that this helps me to rapidly understand the non-statistical aspects as well as the statistical issues in any proposed studies. I have developed and delivered a number of training courses to non-statisticians (scientists in industry and NHS). UK


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


Geoffrey Darnton The most widely recognized specialism is social statistics. I have experience of a wide range of research and consulting experiences. These include: simulating the economic consequences of the UK joining the EEC; using econometric techniques to monitor arms control agreements; checking the validity of social surveys; analyzing banking customer satisfaction measures; checking statistics used to determine legal aid payments to solicitors for criminal cases; updating methods of social research. Worldwide


Kim Cocks Clinical trial design Medical Devices Statistical analysis plans Statistical analysis Patient reported outcome development Longitudinal data analysis with informative missing data Worldwide


Cyril Connolly Data Visualisation Exploratory Data Analysis Statistical Process Control


Leonardo Da Costa Cremonezi Supporting and developing new and advanced technical applications for use within the Market Research industry (public and private sector clients) Writing proposals for and specifying Technical Design requirements on projects Representing the company at client meetings where statistical technical matters are discussed; Co-ordinating statistical analysis requirements for the company, providing internal and external training where appropriate Data manipulation (SPSS and other statistical software) Writing technical development papers and presenting on research topics at conferences; Example: Developing specifications for and checking statistical survey requirements on research surveys Responsible for stats trainings. For more information, please check


Timothy Wong Machine Learning, Time Series, Spark MLlib, Hadoop


Suzanne Welham Analysis of research results in agriculture, plant biology, ecology and related fields. Specific expertise in linear mixed models, analysis of field trials.