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.




























IC

Iain Clark My specialisations are option pricing using Monte Carlo simulation and finite difference methods, risk, model validation and financial data science. My asset class specialisations are foreign exchange, commodities and fixed income. I code in R, Python, C++14 and Matlab.

CS

Camille Szmaragd Veterinary epidemiology, statistical modelling, computational statistics, multilevel modelling and MCMC simulations.

KC

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

AC

Alison Colyer I have experience analysing a variety of data types such as qPCR, sequencing, behavioural or dental measures etc., which incorporate statistical complexities such as repeated measures, non-linearity, multivariate, censoring and multiplicity.

JH

Jane Hutton Life expectancy; cerebral palsy, injuries to neural system.

DB

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

SB

Stefano Bonini Banking & Finance Credit Risk Modeling

DLT

Derek Lai Teik Structural Equation Modeling Data Mining Big Data SPSS

LMH

Lai Ming Ho His main research interests include tobacco and other lifestyle related diseases and infectious diseases Please visit my homepage: http://sph.hku.hk/en/about-us/faculty-and-staff/academic-related-staff/ho,-lai-ming

GKO

Guan Koon Ong Clinical Trials, Product Development,

SB

Simon Bond Early phase adaptive trials. Regulatory CTIMP trials. Worldwide

AM

Alfred Ma Operations research, probability and statistics
Juliano Morimoto Data Science, Biology, Machine Learning, Statistical inferences, Generalised Linear Models, Species Distribution Models, Data Visualisation, Programming in R, adept of Tidyverse

FK

Faisal Khamis Applied Multivariate Statistics, Social Science, Economics, Public Health, Mortality, Epidemiology, Spatial and Temporal Statistics. Worldwide

DW

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

MG

Martin Gibson International and multi-cultural experience in project leadership, change management, and cross-functional team management to improve bottom line performance through Systems Thinking, 4th Generation Management, Advanced Quality Planning, Lean Six Sigma, Policy Deployment, Failure Mode Avoidance, Robustness and Variation Reduction.

AG

Andrew Garrett Clinical trial design and drug development. Non-inferiority and subgroup analysis. Big data. Linking of administrative data (government) Worldwide

JC

Jackie Cooper Genetic data. Survival analysis. Use of risk scores in disease prediction. Help with student dissertations.
Marie Oldfield Statistics, Modelling, Maths, Operational Research, Data Analytics, Artificial Intelligence, Project Management, TV formats, Systems, CBRN, Process Management, Stakeholder Management, Consultancy, Leadership, Business Intelligence, MI, Business Cases, Lean, Six Sigma, DV, SC, Defence, Aerospace, Change Management, Analysis Worldwide

PC

Philip Crook My principal interest nowadays is in the way data (qualitative and quantitative) and statistics are used for monitoring and evaluation of development projects, and in particular the construction of realistic and timely monitoring systems. My other area of interest relates to National Statistical Development Strategies and the revitalisation of statistical systems in developing countries, particularly with the launch of the post-2015 agenda. My strength is in communicating with non-statisticians and in quickly understanding the essence of a development programme, leading to effective indicators of progress. Worldwide