Zaiyan Xu has a robust academic and research background in computer science and statistics, holding a Bachelor of Science degree from the University of Illinois at Urbana-Champaign with a focus on Statistics and Computer Science, and is currently pursuing a PhD in Computer Engineering at Texas A&M University. Experience includes serving as an Undergraduate Grader in the Department of Mathematics at the University of Illinois, conducting research on reinforcement learning and related fields at Texas A&M, and training an acoustic model for the National Center for Supercomputing Applications. Zaiyan has further honed expertise through a Research Internship at Mitsubishi Electric Research Laboratories focused on safe reinforcement learning algorithms and is currently engaged as an Applied Scientist Intern at Amazon working on AGI and reasoning models.
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