My name is Qiuran (Rita) Lyu. I am a third-year UC Berkeley Biostatistics PhD candidate (expected to graduate in 2028). Before coming to Berkeley, I completed my undergraduate major in Statistics and minor in Fintech from Renmin University of China Statistics Department and Gaoling School of Artificial Intelligence.

My research sits at the intersection of statistics and machine learning, with a focus on building reliable, efficient, and interpretable AI systems for high-impact applications. I develop statistical and machine-learning methods for adaptive experimentation, causal inference, large language models, recommendation systems, and healthcare applications. My work combines methodological foundations with practical model development in real-world settings. Some recent research topics include causal transformer, LLM evaluation, recommendation system, etc.

I did summer internship at Pinterest as Machine Learning Research Intern in curation ML team on Aug, 2026, where I gain experience in recommendation system.

You can see and download my Curriculum Vitae through Qiuran's CV (updated on Aug, 2026).