Serena Yeung-Levy
TL;DR Serena Yeung-Levy is a leading researcher developing AI systems that enhance clinical decision-making and improve patient care.
Serena Yeung-Levy by Sora
Serena Yeung-Levy is a prominent researcher in computer vision and computational health. Her work focuses on building AI systems that understand human movement, support clinicians, and strengthen the safety and efficiency of healthcare environments. She combines deep technical expertise with a commitment to real-world medical impact.
Serena has dedicated her career to advancing machine perception in clinical settings. Her research explores video understanding, multimodal analysis, and activity recognition in hospitals and rehabilitation contexts. By bringing AI out of the lab and into practical tools, she helps clinicians make informed decisions and improve patient monitoring workflows. Her contributions continue to shape the evolution of AI-assisted healthcare.
Pioneering research in video-based clinical activity recognition
Development of AI models for analyzing human movement in healthcare
Leadership in automated patient monitoring systems deployed in practice
Publication of influential work across computer vision and computational health
Shaping foundational approaches to modern AI-supported clinical analysis
