Research interests

A full list of publications is available in my CV

Within each research stream listed below, I aim to focus on developing and evaluating solutions toward improving our research rigour and reproducibility.

Preregistration

Effective 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 this up with a feasibility study where we assigned peer reviewers to check specifically for transparent reporting in relation to a preregistration. I have ongoing projects exploring how blinded data analysis could serve similar roles as preregistration, including reducing bias and transparently communicating risk of bias.

Effective study design

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. I have ongoing projects investigating whether Institutional Review Boards consider sample size and ethical issue, the effective use of sample size calculations, and statistics 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 involved in the development of a Canadian Reproducibility Network.

Neurofeedback

I am interested in the psychosocial aspects of healing, including placebos. Such effects 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 worked with a legal scholar to challenge false marketing claims from neurotechnology companies and also proposed that EEG-neurofeedback may present a reasonable treatment, even if an applied placebo.

Other projects

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

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