taro lab ? is built on a simple idea: real-world problems give rise to new algorithmic and statistical questions, and solving them leads to meaningful real-world impact. Our research interests span foundational questions at the interface of algorithms, machine learning, and statistics, with a focus on areas such as learning-augmented algorithms, causality, statistical inference, and online decision-making.