Summary
S Hosseini is an Assistant Professor at Concordia University, director of the Atlas Analytics Lab, and an Affiliate Member of Mila with nine years of experience advancing deep learning and computer vision for computational pathology. He blends academic leadership—over 40 publications, four patent filings, and service as area chair for CVPR, NeurIPS, and ECCV—with industry impact from roles at Huron Digital Pathology and as an Amazon Research Award winner for generative-AI work on auto-populating histopathology reports. His research focuses on foundational ML methods tailored to scalable, clinically deployable Computer-Aided Diagnosis systems developed in collaboration with hospitals and healthcare technology partners. Trained at University of Toronto and Waterloo, he bridges theory and practice by pushing algorithmic innovation toward real-world pathology workflows. Less obvious: he combines a rare mix of signal-processing and domain experience stretching back to early industry research and even artistic discipline as a trained vocalist, which informs a multidisciplinary approach to model design and human-centered evaluation. Based in Montreal, he is known for translating cutting-edge ML into tools that can integrate into clinical pathology pipelines.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Bachelor of Science - BS at University of Tabriz
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Toronto
Master of Science - MS, Master of Science - MS at University of Tehran
Master of Science - MS, Master of Science - MS at University of Waterloo