Miro Dudik is a Senior Principal Researcher in machine learning at Microsoft Research NYC, where he focuses on algorithmic fairness, reinforcement learning, and contextual bandits. He received his PhD from Princeton in 2007. He is a co-creator of the Fairlearn toolkit for assessing and improving the fairness of machine learning models and of the Maxent package for modeling species distributions, which is used by biologists around the world to design national parks, model impacts of climate change, and discover new species.