Xiaochen Li is a PhD student and research intern with 11 years of hands-on experience at the intersection of AI, medical robotics, and augmented reality. With a master's in AI from NUS and a background spanning CUHK research on AR-assisted surgical robots to industry roles at Huawei and Neuro-Mod, Xiaochen blends rigorous academic research with practical system development. Notable projects include leading a testing framework for Baidu Apollo and co-creating "See-through," an AR-median robotics prototype to enhance surgical visualization. Comfortable teaching advanced ML and NLP, they pair mentorship experience with deployment skills from Hadoop clusters to ROS-based simulation. Driven to advance intelligent surgical devices, Xiaochen is pursuing collaborations that fuse micro/continuum robotics and AR to improve clinical outcomes.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at McMaster University
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at National University of Singapore
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of San Francisco
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Xiaochen Li - Research Intern at McMaster University