Assistant Professor of Computer Science Dr. Laura Brown’s research is centered broadly on the application and design of methods in artificial intelligence and machine learning. This work spans from the theoretical design of algorithms for feature selection and learning Bayesian networks, to the application of methods across domains including clinical healthcare, biomedicine, power distribution networks, . . .
