Golnoosh Samei
About Golnoosh Samei
Golnoosh Samei is a Senior Research Team Lead at Borealis AI, with over 10 years of experience in Medical Image Analysis, Computer Vision, and Machine Learning. She has held various roles in both academic and industry settings, including positions at Xnor.ai, Apple, and Disney Research.
Work at Borealis AI
Golnoosh Samei serves as the Senior Research Team Lead at Borealis AI, a position she has held since 2023. In this role, she leads a team focused on advancing research initiatives in artificial intelligence. Her leadership is informed by her extensive experience in machine learning and computer vision, which she has developed over more than a decade in the field.
Previous Experience at Xnor.ai
Prior to her current role, Golnoosh Samei worked as a Machine Learning Engineer at Xnor.ai for seven months in 2019 and 2020. During her time there, she contributed to projects that leveraged machine learning techniques, enhancing the company's capabilities in AI applications.
Experience at Apple
Golnoosh Samei held the position of Machine Learning Manager (Staff Engineer) at Apple from 2020 to 2023. In this capacity, she managed machine learning projects and teams, applying her expertise in computer vision and medical image analysis to develop innovative solutions within the company.
Education and Expertise
Golnoosh Samei has a strong academic background, having earned a Master of Science (M.Sc.) in Computer Science with a focus on Visual Computing from ETH Zürich between 2008 and 2011. She further pursued her studies at the same institution, obtaining a Doctor of Sciences (Dr. sc.) in Computer Vision from 2011 to 2014. Additionally, she holds a Bachelor of Science (B.Sc.) in Computer Engineering from Sharif University of Technology, completed from 2003 to 2007.
Background in Research and Industry
Golnoosh Samei has over ten years of experience in medical image analysis, computer vision, and machine learning. She has worked in both academic and industry settings, transitioning from research roles to leadership positions. Her diverse experience includes internships at Disney Research and roles in both large tech companies and smaller startups, providing her with a comprehensive perspective on machine learning applications.