Zifan Lyu

I am a doctoral student advised by Prof. Fanny Yang, working on efficient evaluation methods for Large Language Models (LLMs) and Reinforcement Learning with Verifiable Rewards (RLVR) for LLM post‑training. My research focuses on developing principled approaches to assess and improve large models using measurable and trustworthy signals.

I received my MSc in Statistics from ETH Zürich and a BSc in Mathematics, Statistics, and Business from the London School of Economics. With a strong mathematical and statistical background, I enjoy tackling real‑world machine learning problems guided by theory and rigorous analysis.

Outside of research, I am a regular gym‑goer and have a strong interest in psychology.