Yuxuan Tao is a PhD candidate in Applied Mathematics and a Graduate Teaching Assistant at USC with 11 years of experience bridging mathematical theory and data-driven research. He has strong skills in statistical data analysis, linear regression, numerical linear algebra, and MATLAB, applied to interdisciplinary projects from climate-model heatwave analysis to dynamic mode decomposition. His background in dual BS degrees in Mathematics and Meteorology (both 4.0) underpins a quantitative approach to scientific problems and classroom mentoring. Yuxuan’s research experience includes cryptography studies and independent data-driven science projects, highlighting versatility across theory and computation. Intrigued by philosophical questions, he explores how AI might inform existential inquiry, signaling a rare blend of technical rigor and intellectual curiosity. Based in Los Angeles, he brings academic depth and hands-on analytical experience to research and teaching roles.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at University of Southern California
Bachelor of Science - BS, Mathematics, 4.0/4.0, Bachelor of Science - BS, Mathematics, 4.0/4.0 at North Carolina State University
Generate TypeScript d.ts definitions for generated js files from grpc_tools_node_protoc
Contributions:7 reviews, 21 PRs, 12 pushes in 3 years 11 months
protoc-nodegrpcjs-filesdefinitionsprotoc
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