Dr. Arvin Tashakori is a Senior Applied Research Scientist in Computer Vision and Robotics whose work sits at the frontier of AI-powered medical and surgical systems. With a PhD from the University of British Columbia, postdoctoral research at Stanford University, and over a decade of industry experience, he has built a career on transforming cutting-edge research into scalable, real-world technology.

His research has earned recognition among the very best in the field — published in Nature Machine Intelligence, spotlighted by Science Robotics as an Editor's Choice, and featured across Nature, Physics World, CTV News, and dozens of other outlets worldwide. He was named a Finalist for the Apple Scholars in AI/ML program, placing in the top 3 of roughly 5,000 applicants globally, and his work has been recognized at premier venues including NeurIPS, ICLR, and CVPR.

Dr. Tashakori's expertise spans Computer Vision, Robotics, Wearable Electronics, Deep Learning, Natural Language Processing, Large Language Models, Vision-Language Models, Generative AI, and Secure and Trustworthy AI. He brings rare end-to-end mastery across Software, Firmware, and Hardware development, with deep specialization in Wearables, Edge Computing, Consumer Electronics, and the Internet of Things — particularly within digital health and biomedical applications.

Currently leading the development of advanced machine vision algorithms for autonomous neurosurgical robotic systems at Koh Young Research Canada, Dr. Tashakori continues to push the boundaries of what intelligent systems can achieve in high-stakes clinical environments. Throughout his career — from Stanford's Wearable Electronics Initiative to leading cross-functional engineering teams — he has paired theoretical depth with a relentless focus on building technology that delivers measurable impact.