Summary
Yilin Zhang is a Staff Research Scientist in the San Francisco Bay Area with 11 years of experience bridging statistics and large-language-model research. At Meta she leads GenAI Evaluation and Ground Truth Maturity frameworks and co-authored the Llama 3 paper, reflecting deep involvement in productionizing cutting‑edge LLMs. Her work spans LLM labeling, auto-prompt optimization, prompt understanding, fine-tuning, and building AI agents such as analytics and design agents. Trained as a PhD statistician from University of Wisconsin–Madison with a math-and-statistics undergraduate background from USTC, she blends rigorous quantitative methods with practical ML engineering. Colleagues rely on her to translate challenging evaluation problems into scalable frameworks that improve model reliability in real-world systems. An often-overlooked strength is her cross-disciplinary collaboration history, from gravitational-wave research to industry-scale applied science, which fuels a broad, inventive approach to AI problems.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD) Statistics, Doctor of Philosophy (PhD) Statistics at University of Wisconsin-Madison
B.S. Mathematics and Statistics, B.S. Mathematics and Statistics at University of Science and Technology of China
English, Chinese