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.

Opeyemi Ogungbola General Statistical Consulting Africa
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
Prof. Dr. Diego Kuonen, CStat PStat Statistical engineering, statistical thinking, statistics, analytics and data science, including artificial intelligence and machine learning. Worldwide
Muhammad Faisal I offer consultancy services in health data science, specialising in epidemiology, statistical computing, and predictive modelling for clinical decision-making. With extensive experience in exploratory data analysis, multivariate analysis, and causal inference, I help organisations uncover meaningful insights from complex health data. My expertise also includes simulation techniques and statistical inference, ensuring robust and data-driven decision-making. Whether supporting research projects, developing clinical prediction models, or enhancing analytical workflows, I provide tailored guidance to meet specific needs. Worldwide
Dr Gbenga Kazeem
Seyed Shahmy Time-series Analysis, Clinical Trials, Epidemiological studies, Public Health Policy Analysis Worldwide

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YUVRAJ SUNECHER Finance, Statistics, Reforms in Child Services, Strategic Plans, Non-Formal Education.
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
Prof. Dr. Brijesh Sathian Bio-statistics, Epidemiology, Clinical trials, Statistical Modelling, Public Health Worldwide

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Timothy Davis Engineering Worldwide
Evangelos I. Kritsotakis Prognostic factor research, clinical prediction models, diagnostic accuracy studies, randomised controlled trials, quasi-experimental studies, interrupted time series designs, population-based cohort studies, case-control studies, complex sample surveys, systematic reviews, and meta-analyses. Worldwide

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John Henstridge John has worked in a number of fields, including time series (especially signal processing), surveys and modelling. He is frequently called upon as an expert witness in legal matters. Worldwide

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Amrinder Malhi Clinical trials, Observational research, RWE/RWD, Observational/Non-interventional research, Meta-analyses/NMA, Medical writing/publications, Methodology, Stata, R, SAS Epidemiology expertise in Oncology, Immunology, Cardiometabolic health, Neuroscience, Vaccinology. Experience across top Pharma. UK

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Samuel Bosomprah Biostatistics and Epidemiology
Novri Suhermi Time Series Forecasting, Statistical Computing, R & Python Programming, Marketing Analytics Worldwide

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Shu Lee Data Science and Machine Learning
Christopher Rose Randomized trials of public health interventions. Meta-analysis (particularly network meta-analysis of pharmaceutical interventions and multivariate meta-analysis of risk factors). Statistical programming in Stata and Mata. Europe
Richard Saldanha Quantitative finance; AI/machine learning; mathematics/statistics. Worldwide
Jackie Campbell Applied statistics/data analysis Research design Commissioned research and evaluation Worldwide
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