Lexin Zhou

I’m a CS PhD candidate at Princeton University, advised by Peter Henderson and closely collaborate with Tom Griffiths. I do both CS and Cognitive Science. I work on data, evals and continual learning of language models and agents. A few technical directions that I’m recently excited about:

• Robust evaluations that measure intended behavior, fighting against Goodhart’s Law
• Closed loops of data valuation and targeted synthetic data generation
• RL post-training and evaluation of LLM agents

I’ve spent time in research/consultancy roles at Google DeepMind, MSR, OpenAI, Meta AI, and European Commission. My work has been featured in Nature, Financial Times, Microsoft Research, MIT Tech Review, Forbes, IEEE Spectrum, El País, New Scientists, QbitAI, IBM, among others. I am grateful to have my latest and ongoing projects being generously supported by OpenAI, Google DeepMind and MSR.

I’m always open to interesting conversations. Feel free to reach out via email or Twitter.