Summary
Atefeh Irani is a Machine Learning Researcher and PhD candidate with 11 years of experience applying computer vision and time-series modeling to healthcare and serious games. She leads medical-AI research at UBC’s Djavad Mowafaghian Centre for Brain Health, building scalable, reliable tools for remote assessment of neurological disorders such as Parkinson’s disease. Her work spans facial and hand-movement analysis, automated video-quality evaluation, and translating prototypes into clinical-grade software informed by medical device standards. Having combined academic rigor with industry practice—leading full-stack and Unity teams—she bridges research, product development, and regulatory-aware engineering. Notably, she brings hands-on experience implementing IEC 62304-aligned software in medical contexts, which helps move novel algorithms toward real-world clinical use.
11 years of coding experience
10 years of employment as a software developer
Visiting Research Student, Visiting Research Student at The University of British Columbia
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at University of Tehran