Portrait of Miro Dudík

Miro Dudík

Sr Principal Researcher Manager


Miro Dudík’s research focuses on combining theoretical and applied aspects of machine learning, statistics, convex optimization and algorithms. Most recently he has worked on contextual bandits, reinforcement learning, and algorithmic fairness.

He received his PhD from Princeton in 2007. He is a co-founder of an open-source, community-driven project Fairlearn (opens in new tab), whose goal is to help data scientists improve fairness of AI systems. He is also a co-creator of the Maxent (opens in new tab) software 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.