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I am actively recruiting – please see my lab page for more. IntroI am mainly interested in interactive machine learning (IML) and key tools for it such as confidence bounds. I am also interested in IML problems arising from LLMs, including alignment, post-training, reasoning, and test-time scaling. I love theory, but I am interested in how theory provides new insight and algorithms for practitioners. As such, I also work closely with Krafton AI on various aspects of LLMs and with Meta Platforms on efficient A/B testing systems. Previously, I spent several wonderful years as an assistant professor at the University of Arizona. I maintain most of my research/academic stuff in my lab page. Service
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