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

SH	Sara Hilditch
	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
SL	Shu Lee	Data Science and Machine Learning
DJW	Dr Julie Winstanley	Questionnaire design and testing, Psychometrics, IRT methods, Online survey methods	Worldwide
	Jason West	Bayesian analysis. Statistical methods. Epidemiology. Data science.	Worldwide
TW	Timothy Wong	Machine Learning, Time Series, Spark MLlib, Hadoop
	Kevin Hon Yin Hau	Scorecard, Linear / Logistics / Non-linear / Quantile regression, Automation, Time Series, Simulation, GLM, Survival Analysis, Risk Modelling, Pricing, Forecast, Data Cleansing, Experimental Design, Financial Modelling, Graphical Design, Erlang-C Model, Tree Decision, Random Forrest, AutoML Program: SAS, R, VBA, SQL, Tableau
	Seyed Shahmy	Time-series Analysis, Clinical Trials, Epidemiological studies, Public Health Policy 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
	Albert Chau	Clinical Trials, Drug Development, Phase I-IV Trials, Oncology, Cancer, Statistics, SAS Programming, CDISC, Data Management, Data Science, Survival Analysis	Worldwide
	Prof. Barry Quinn	Open science analytics, Cloud computing and financial technology, Financial data science, statistical forecasting, machine learning and predictive analytics.	Europe
MB	Michael Baxter	Censuses Surveys Price indices Television monitoring	UK
	Evangelos I. Kritsotakis	Prognostic factor research, clinical prediction models, randomised controlled trials, quasi-experimental studies, time series analysis, population-based cohort studies, complex sample surveys, systematic reviews, and meta-analysis.	Worldwide
TB	Thomas Brown	Data Analysis, Lean Manufacturing, Optimisation Projects, Predictive Analytics, KPI Reporting, Six Sigma, Quality Control & Mapping, Programming, Process Modelling, Method Validation.	UK
	Dr Rhian Davies	Reproducible Analytical Pipelines, Public Health, Quality Assurance of statistical models, R package development, R Shiny app development and deployment, R training	Worldwide
	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 EXPERT WITNESS & ADVICE SERVICES Expert advice, statistical expert, stats advice STATISTICAL TRAINING COURSES Basic Stats Courses, Statistical Thinking, Identifying Trends and Making Forecasts, Multivariate Analysis, Hypothesis Testing	Worldwide
	Kyle Gomez		Europe
	Dr Marie Oldfield	At Oldfield Consultancy we provide AI Assurance consultancy, expert witness input for the legal profession and statistics. We work with cutting edge analytical solutions encompassing Legal Expert Witness (DNA, Fraud, Homicide etc), Court compliant reporting, AI, Statistics, Modelling, Training, Data Science and Ethics. www.oldfieldconsultancy.co.uk⁣ ⁣ ⁣ ⁣ Some Past Clients: Oil and Gas, Lawyers, Barristers, Scoliosis SOS, Royal Navy, Royal Air Force, British Army, CPS, UK MOD, UK Gov, MOJ, NATO, Broadcast Media & multiple Universities. We also provide training on soft skills for analytical/tech teams at www.kuinuacoaching.com. ⁣	Worldwide
	Richard Huntsinger		Worldwide
	Iurii Dushin	Data Scientist and Biostatistician with extensive experience in delivering novel AI software in healthcare. Demonstrated expertise in leading multidisciplinary teams, the development of innovative medical devices, and pioneering computer vision algorithms for neurological motor diseases. Proven track record of managing high-value projects, from conception to successful validation in multicenter clinical studies. Proficient in leveraging cutting-edge technologies, including deep learning models and cloud computing, to deliver impactful solutions.	Worldwide

 

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