Yilun Kuang is a data science PhD candidate and teaching assistant at NYU with six years of research and academic experience focused on natural language processing and representation learning. He has contributed to cutting-edge research at the Simons Foundation, resulting in two NeurIPS publications and a COSYNE poster, and brings hands-on experience mentoring students in DS-GA 1011. Trained in honors mathematics with a computer science minor, Yilun blends rigorous theoretical grounding with practical ML implementation skills. He is comfortable moving between research and pedagogy, and his trajectory suggests a knack for turning complex probabilistic and representation-learning ideas into teachable, reproducible code and experiments.
6 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Data Science, Doctor of Philosophy - PhD, Data Science at New York University
High School Diploma, High School Diploma at Shenzhen Middle School
Contributions:85 commits, 74 pushes, 1 branch in 11 months
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Yilun Kuang - Teaching Assistant at NYU Center for Data Science