Saeid completed his PhD in Computing Science at Simon Fraser University, Canada in 2019. Besides working as a machine learning research scientist, Saeid has had multiple research visits at different institutions/companies including Mila, Montreal, Canada, and Siemens Healthineers, Princeton, USA.

In the past few years, he has conducted deep learning research in medical and non-medical domains and has co-authored/reviewed top machine learning and computer vision conference and journal papers including CVPR, ICCV, MICCAI, IEEE TMI, and IEEE TBME. Saeid has received multiple fellowships and awards during his PhD, and best researcher and first ranked student awards during his MSc.

His current research focus is on unbiased (feature-balanced) deep representation learning with the goal of preventing drastic failures when factors of variations change i.e. generalizing to new environments.

Outside of work, Saeid enjoys soccer and running track (specializing in 100m sprinting), winning several inter-university awards.