Artur Dubrawski

Dubrawski is interested in intelligent systems that work, are useful, and make economic sense, and in finding ways to effectively build and deploy them. His work is driven by real-world applications, currently in the areas of public health, food safety, nuclear safety and health of equipment. It involves researching new machine learning algorithms and data structures to facilitate probabilistic modeling, predictive analytics, interactive exploration, and data understanding.