Artur d'Avila Garcez (born 1970) is a researcher in the field of computational logic and neural computation, in particular hybrid systems with application in software verification and information extraction. His contributions include neural-symbolic learning systems and nonclassical models of computation combining robust learning and reasoning. He is a Professor of Computer Science at City, University London. Garcez received his PhD from Imperial College London in 2000 under the supervision of Dov Gabbay. The title of his thesis is Nonmonotonic Theory Refinement in Artificial Neural Networks.