Summary
Tian Yun is a computer vision and language researcher and Ph.D. student at Brown University with eight years of industry and research experience spanning Meta, Google, Tencent, and banking analytics. Co-advised by Chen Sun and Ellie Pavlick, Tian focuses on multimodal learning, interpretability, and model generalizability, and contributed to EMNLP‑published work on grounded representations in embodied sequence modeling. Their practical background includes large‑scale data engineering, causal analysis, and predictive modeling (AUC 0.9173 on a production user-retention task), bridging rigorous research with production-ready pipelines. Comfortable in both academic and engineering settings, Tian has tutored across CS curricula and built tooling to streamline team workflows, reflecting a blend of teaching, software, and analytic strengths.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Brown University
High School Diploma, Cumulative GPA 3.82/4.0, High School Diploma, Cumulative GPA 3.82/4.0 at Shenzhen College of International Education
Bachelor of Science - BS, Mathematical Statistics & Computer Science, Cumulative Major GPA 3.90/4.00, Bachelor of Science - BS, Mathematical Statistics & Computer Science, Cumulative Major GPA 3.90/4.00 at Wake Forest University
Chinese, Chinese, English