My academic and professional journey has been shaped by both technical pursuits and unexpected challenges. I was admitted to multiple top-tier institutions including the University of Toronto, Imperial College London, and UC San Diego for my graduate studies. I chose to enroll at the University of Toronto, where I maintained a 4.0 GPA while taking advanced courses in neural networks, robotics perception, and cloud computing.

However, my path took an unexpected turn due to extended visa processing delays—a stark reminder of how political and administrative factors can unpredictably impact students’ careers and aspirations. Despite the disruption, I chose to continue my studies at Eindhoven University of Technology (TU/e) in the Netherlands, where I am currently pursuing my master’s degree in Electrical Engineering.

This experience has reinforced my belief that while external circumstances may be beyond our control, technology advancement remains a powerful force for positive change. I am committed to contributing to innovations in computer vision and autonomous systems that can make people’s lives better, safer, and more efficient.

My technical focus includes:

• 3D object detection, tracking, and segmentation on point cloud data
• Model optimization and acceleration for efficient deployment on edge GPUs
• Building end-to-end products, e.g., YourArXiv — a personalized arXiv recommender using embedding-based retrieval (React + Flask + AWS)

Fun fact: I have a twin brother, Chengkun (Charlie) Li, who is also actively engaged in artificial intelligence research.