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, and PhD in Health Research Methods (Biostatistics) in the department of Clinical Epidemiology & Biostatistics at McMaster University.


I collaborate and consult with clinical investigators on health research projects (clinical trials, diagnostic studies, pilot studies, meta-analyses etc. ) in clinical areas such as oncology, venous thrombosis, emergency medicine and surgery.

I am also a faculty biostatistician with the Ontario Clinical Oncology Group (OCOG), an academic cooperative clinical trials methods and coordinating group which focuses on clinical research in cancer and thrombosis. As part of the group, I am involved in the design, conduct, statistical analysis and reporting for many studies that are funded by either the CIHR, NIH, CCSRI, or industry partners. For a full list of OCOG studies, please visit OCOG-Trials.


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

Teaching/Student Supervision

I teach extensively in the graduate 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

In addition, I supervise graduate students (MSc and PhD) through the HRM program as well.


I advise, and provide support to individuals and organizations relating to study design, conduct, statistical analyses, interpretation and reporting of their research projects.

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.