Lexin Zhou

Hi! I’m a CS PhD student at Princeton University, where I’m fortunate to be advised by Peter Henderson and closely collaborate with Tom Griffiths. I am a computer scientist by training but also regularly draw insights from cognitive science. I design systematic evaluation frameworks that allow for understanding the capabilities and generalization patterns of LLMs, as well as their associated risks (e.g. unreliability). I also search for ways to disapprove Goodhart’s Law through generalizable optimization targets and evaluations, for building more reliable and robust LLMs.

Prior to Princeton, I was at MSR for a year, working with Dr. Xing Xie. I did my MPhil in CS at Cambridge University, supervised by Andreas Vlachos, and my BSc in DS at TU Valencia, under Jose Hernandez-Orallo.

I’ve spent time in research/consultancy roles at 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.

If you wanna talk about something I do, feel free to reach out via email or on Twitter!