I research topics on reliable measurement and evaluation of machine learning systems.
I'm a co-founder of the GenLaw Center, a postdoctoral researcher at Microsoft Research, and, in 2026, I'll be appointed as an Assistant Professor of Computer Science at Yale University. My research develops metrics for ML capabilities, and makes sure that we can effectively and reliably measure these metrics at scale and in practice. My contributions span uncertainty estimation, privacy and security of generative-AI systems, distributed training, hyperparameter optimization, and model selection. I also do work in tech policy and law, and spend a lot of time finding ways to effectively communicate the capabilities and limits of AI/ML to interdisciplinary audiences and the public.