Biography

Dr. Artur Dubrawski researches useful intelligent systems and the ways to effectively build and deploy them. His work is driven by real-world applications, currently in the areas of public health, food safety, health informatics, clinical medicine, nuclear safety, intelligence and law enforcement, health of equipment, and predictive maintenance. It involves investigating machine learning algorithms to facilitate probabilistic modeling, predictive analysis, interactive exploration, and understanding of complex hypothesis spaces. Artur Dubrawski is a senior faculty at the Carnegie Mellon University Robotics Institute, where he directs the Auton Lab, a machine learning research group of 45. He also regularly teaches graduate and executive courses on data science.