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.

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

SB

Samuel Bosomprah Biostatistics and Epidemiology
Lynsey Mccoll I am the Managing Director of Select Statistics. We work in partnership with our clients by combining statistical expertise with industry knowledge to extract actionable insights from data, improve decision making and drive business growth. We operate across a broad range of sectors and offer a wide variety of services that can all be tailored to meet your unique requirements. Our clients range from large international corporations and public sector bodies to SME’s and private individuals. Worldwide
Gabriella Debreczeni People Analytics (Business, Education, Healthcare, other public services). Regression analysis, survival methods in people data. Statistical programming in R. General statistical consulting. 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, 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

IJC

Iain John Clark
Jackie Campbell Applied statistics/data analysis Research design Commissioned research and evaluation Worldwide
Professor Jane L Hutton Expert witness and forensic statistics Life expectancy; cerebral palsy, injuries to neural system. Adverse effects of drug and medical devices. Commercial disputes related to medicines and medical devices. Validity and reliability of data. Epidemiology. Statistics and ethics. 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
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
Dr Gbenga Kazeem

CCP

Chris Chen, PhD Marketing Research, Sales & Marketing statistical analysis, Credit risk modeling Worldwide
Kath Lowery Pharmaceutical clinical trials and development strategy; medical statistics; oncology; companion diagnostic development; small molecule, advanced therapies and immunotherapy development. Digital health and remote patient monitoring. Worldwide
Prof. Dr. Brijesh Sathian Bio-statistics, Epidemiology, Clinical trials, Statistical Modelling, Public Health 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

GM

Giovanni Montana Machine learning, computer vision, medical imaging, deep reinforcement learning Worldwide

AM

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
Catriona Keerie Clinical trials design and methodology, sample size estimation, statistical analyses, SAS software, medical device evaluations, meta-analyses, systematic reviews, routinely collected data UK