My name is Qiuran (Rita) Lyu. I am a fourth-year PhD candidate in Biostatistics at UC Berkeley, with an expected graduation year of 2028. Before coming to Berkeley, I completed my undergraduate studies at Renmin University of China, majoring in Statistics with a minor in Fintech through the School of Statistics and the Gaoling School of Artificial Intelligence.

My research lies at the intersection of statistics and machine learning. I am broadly interested in developing reliable, efficient, and interpretable methods for modern AI systems, especially in settings where statistical reasoning still matters. My recent work spans adaptive experimentation, causal inference, large language models, recommendation systems, and healthcare applications. I enjoy working on problems that connect methodological ideas with practical modeling challenges in real-world data.

I was a Research Intern at Ant Group from December 2025 to April 2026 and a Machine Learning Research Intern on Pinterest's Curation ML team from May to August 2026, where I worked on large-scale recommender systems. I will join Two Sigma as a Quantitative Researcher Intern in summer 2027, which I am very excited about!

You can view and download my Curriculum Vitae here (updated August 2026).