Bailey Kacsmar is an Assistant Professor at the University of Alberta and an Alberta Machine Intelligence Institute (Amii) fellow.

She develops human-centered privacy technology through the parallel study of technical solutions for private computation (privacy in machine learning and private set intersections) alongside the corresponding user perceptions, concerns, and comprehension of these developments.

Prior to joiningthe University of Alberta, she received her PhD in Computer Science and her Master's of Mathematics, both from the University of Waterloo. Her work has been published in venues such as USENIX Security, ACM Conference on Computer and Communications Security (CCS), and the Privacy Enhancing Technologies Symposium (PETS).