Xin Liu is a PhD candidate in computer science at the University of Michigan with eight years of experience focused on natural language processing and UI/UX design. They combine research rigor with hands-on teaching, having developed and led a new Information Thermodynamics course with practical data collection and visualization components. Xin’s background blends strong academic foundations—including a CS BS from Michigan and a top-scoring pre-college stint at Johns Hopkins—with practical coding and curriculum design. Outside research, they balance intense technical work with gaming and yoga, which they credit for sustaining creativity and problem-solving stamina. Known for bridging human-centered design and language technologies, Xin brings an interdisciplinary perspective that helps turn complex models into usable interfaces.
8 years of coding experience
Johns Hopkins University
Bachelor of Science - BS, Computer Science, GPA: 3.335, Bachelor of Science - BS, Computer Science, GPA: 3.335 at University of Michigan College of Engineering
Contributions:4 commits, 3 pushes, 1 branch in 8 months
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