Lotus Kong

Computer Science and Mathematics student at the University of Toronto with a strong focus on computer vision, 3D reconstruction, machine learning, and AI systems. Passionate about building technologies that help computers better understand the physical world and transform research breakthroughs into real-world applications. Academic and research interests span human motion understanding, embodied AI, autonomous systems, and intelligent perception.

Previously conducted autonomous driving research at Tsinghua University, focusing on perception and vision-based technologies for autonomous systems. This work provided hands-on experience in computer vision pipelines, 3D scene understanding, and machine learning applications in real-world environments. In parallel, actively developed independent AI projects, including a basketball trajectory prediction system that generated more than 80,000 impressions on LinkedIn and received recognition from leading computer vision communities, including OpenCV, YOLOvX, and Ultralytics through reposts, comments, and community engagement.

Currently serving as CEO & CTO of Motus Motion Labs, a startup building Human Motion Intelligence technology. Motus transforms ordinary videos into 3D motion data and biomechanical insights, enabling applications across sports performance, injury prevention, rehabilitation, and future robotics systems. The company’s mission is to make human movement measurable, understandable, and actionable through accessible AI-powered motion analysis. By combining computer vision, biomechanics, and domain expertise, Motus aims to create a new layer of motion intelligence that helps athletes improve performance, supports healthier movement patterns, and contributes to the next generation of embodied AI and robotics.

As an active participant in the Canadian startup ecosystem, continuously seeking opportunities to collaborate with founders, researchers, investors, and industry leaders. Particularly interested in the intersection of AI, human performance, healthcare, and robotics, with a long-term vision of building technologies that bridge scientific innovation and meaningful real-world impact.