About me


I am an Assistant Professor and Applied Biostatistician in the Department of Oncology and the Department of Health Research Methods, Evidence, & Impact (formerly Clinical Epidemiology & Biostatistics) at McMaster University in Hamilton, Canada.

I completed an MSc degree (Biostatistics) in the Department of Epidemiology and Biostatistics at the University of Western Ontario (2007), and PhD in Health Research Methods (Biostatistics) in the department of Clinical Epidemiology & Biostatistics at McMaster University (2014)

My research interests are in clinical trials, systematic reviews, predictive modeling and health research methods.


I am a faculty biostatistician with the Ontario Clinical Oncology Group (OCOG), an academic cooperative clinical trials coordinating and methods group which focuses on clinical research in cancer and thrombosis. My work within OCOG focuses on collaborative research in the design, conduct and analysis of clinical trials. For a full list of OCOG studies, please visit OCOG-Trials.

In addition, I provide statistical and methodological support to researchers in various medical fields including emergency medicine, surgery, nephrology and pathology. My other research includes work in diagnostic studies, pilot and feasibility studies, systematic reviews and meta-analysis, and prognostic and predictive modeling.


A full list of my publications can be found on my Google Scholar profile or on PubMed.

Teaching/Student Supervision

My teaching responsibilities are primarily in the Health Research Methodology Program (HRM) in the Faculty of Health Sciences at McMaster University. I contribute to the following courses:

HRM 730 – Introduction to Research Methods for Randomized Controlled Trials
HRM 733 – Statistical and Methodological Issues in Randomized Clinical Trials
HRM 739 – Biostatistical Collaboration
HRM 723 – Regression Analysis
HRM 777 – Methods for Diagnostic and Prognostic Research

Graduate student supervision is also done though the HRM program.


Statistical and Methodological Blogs & Resources

datamethods.org – discussion forum for data methodologists, clinical trialists and clinical researchers
Statistical Thinking – Frank Harrell
Statistical Modeling, Causal Inference, and Social Science – Andrew Gelman
Winton Centre for Risk and Evidence Communication – Winton Centre (University of Cambridge)
Error Statistics Philosophy – Deborah Mayo


Feel free to get in touch with me regarding statistical/methodological support, collaboration or graduate student supervision.