Research interests

A full list of publications is available in my CV

Within each research stream listed below, I aim to develop and evaluate solutions to improve research quality.

Preregistration

Effective study planning and documentation can improve the efficiency and trustworthiness of research. In this vein, I have led a systematic review and meta-analyses of discrepancies between study registrations and their associated manuscripts. We followed up on this review with a feasibility study where we assigned peer reviewers to check specifically for transparent reporting in relation to a preregistration. I have ongoing projects investigating whether blinded data analysis and hold-out samples could serve a similar role as preregistration, but for secondary analyses of managed datasets.

Sample size planning

Poorly designed studies waste resources and mislead future research efforts. Our team has shown that undergraduate psychology programs in the UK rarely share information on the content of their research methods classes, and when they do, these documents often do not mention key statistical concepts such as effect size and statistical power. I have ongoing projects investigating the effective use of sample size calculations, whether Institutional Review Boards consider sample size an ethical issue, and research methods education in the life sciences.

Reproducibility Networks.

I am interested in community driven initiatives to redesign the research ecosystem to facilitate and reward quality research. I have called for a coordinated approach to improve research rigour and reproducibility in Canada and am leading the development of the Canadian Reproducibility Network (CaRN), whose vision is for “A healthy and vigorous Canadian research ecosystem where all outputs are trustworthy, rigorous, and reproducible.”

Neurofeedback

I am interested in the psychosocial aspects of healing, including placebos. These healing mechanisms are apparent in neurofeedback. They merit further investigation and could be leveraged as a treatment adjunct. I co-led the development of the Consensus on the Reporting and Experimental Design in Neurofeedback (CRED-nf) Checklist, which is listed on the EQUATOR Network. I led projects that provide overviews of neurofeedback in general and fMRI-neurofeedback in particular. I have challenged false marketing claims from neurotechnology companies and proposed that EEG-neurofeedback may present a reasonable treatment option, even if an applied placebo.

Other projects

I am interested in several other areas of meta-research and have collaborated on projects assessing post publication peer review, transparent research practices, citation patterns, and many analyst approaches, among others.

Funding. My work has been funded by fellowships from METRICS—via the Laura and John Arnold Foundation (2021-2023), CIHR (2022-2025), and FRQS (2019-2022); scholarships from NSERC (2015-2018), MITACS (2018), FRQNT (2015), and the Integrated Program in Neuroscience at McGill University (2014); and by a grant from the BIAL Foundation (2015-2016).