It is now well recognized that Machine Learning (ML) models can contain significant biases which impact the health and wellbeing of marginalized communities. Numerous ...

About
Sharon Birdi is a recent graduate of Western University where she obtained an Honours Bachelor of Medical Sciences. Sharon is interested in studying population-based approaches to integrated healthcare.
At the Upstream Lab, she is currently conducting a scoping review to identify possible biases in machine learning models used in specific areas of population health.