Can Liu possesses a strong background in computer science and mathematics, with a Bachelor of Science from the University of Chicago and a Master of Science from Stanford University. Experience includes serving as a Course Assistant for CS254: Computational Complexity at Stanford University, and holding positions as a Software Engineer at Mineral.ai and Google, focusing on GCP - Vertex AI. Previous roles also include Software Engineer Intern at X, the moonshot factory, contributing to a confidential Google[X] project in computational agriculture. Research experience is highlighted by a role as a Research Assistant at the Stanford Vision and Learning Lab, working on social navigation using reinforcement learning, and additional research and teaching assistance roles at the University of Chicago.
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