Behind the work

I am a biostatistician with over 18 years hands-on experience in the design, analysis and reporting of biomedical research studies across a wide range of medical fields and experimental models. I believe strongly in a partnering approach between data scientists and medical researchers in order to ensure that the data generated and the resulting analyses are fit for purpose, relevant and actionable.

 

My career spans across over a decade in academic research and 6+ years in the pharmaceutical industry, where I've enjoyed bringing statistical expertise to collaborations with dozens of research groups working with pre-clinical and clinical data in hematology, immunology, cardiology, oncology, gynecology, genomics and many other areas.

 

As a biostatistician, I have supported and co-authored over 50 peer-reviewed publications. I place a high value on methodological flexibility and draw from a range of parametric, nonparametric and Bayesian techniques for statistical modelling, testing, prediction and study planning. In any given application there are many ways that - statistically speaking - lead to Rome. Use the right tool for the job!

 

Key areas of expertise

 

Biostatistics & statistical programming 

Designing and analyzing in vivo, in vitro & ex vivo pre-clinical and clinical studies using R; Simulation-based sample size and study planning

 

In vivo studies

Preparation of submissions to ethics committees for the approval of human and animal research as relating to biometrical study planning, sample size justification and statistical analysis plan

 

Biomarker studies

Statistical analysis planning (SAP) and analysis of small and large sample biomarker studies using R; Modelling, prediction and multivariate biomarker selection

 

Scientific writing

Co-authoring 50+ peer-reviewed publications in medical literature including in vivo, in vitro & ex vivo research as well as meta-analyses, health economic modelling and cost effectiveness analyses; Providing statistical analyses, tables, figures, and support with reviewer comments and revisions

 

Good research practice

Collaborating with researchers to create biostatistical and data management guidelines to ensure Good Research Practice, high-quality study results and scientific rigor

 

Teaching and education

10+ years of experience in teaching statistical topics for non-statisticians; Seminars with theory & practice in topics such as hypothesis testing & sample size estimation