It is now well recognized that Machine Learning (ML) models can contain significant biases which impact the health and wellbeing of marginalized communities. Numerous ...
Steve Durant joined the Upstream Lab in October of 2021. He holds a PhD in Health Services Research from the University of Toronto, and completed a dissertation focused on mental health policy reform. Prior to joining the Upstream Lab, he was a Postdoctoral Fellow at the University of Waterloo, where he contributed to studies of precarious work and employment during the COVID-19 pandemic. He has a strong interest in social determinants of health and equity research. At the Upstream Lab, Steve’s primary focus is a project to conduct a scoping review related to bias in machine learning applications in healthcare, and developing a guideline that draws on the literature as well as extensive engagement with professional and community stakeholders, as well as a multi-disciplinary study team. Steve is also supporting several other projects that involve AI in healthcare or literature reviews.