Kevin Murphy. His research focus is on new deep network architectures for multi-task dense predictions, such as object detection instance segmentation, color prediction and visual question-answering. Currently he is a core developer of TensorFlow and co-creator of TensorFlow-Slim. Before joining Google he was a Research Scientist at University of California, Berkeley EECS with Prof. Trevor Darrell and Prof. Lotfi Zadeh. At UC-Berkeley he was a core developer of Caffe: Convolutional Architecture for Fast Feature Embedding. He received his Bachelor and PhD degrees from the Technical University of Madrid, and did a postdoc at the European Center for Soft Computing with Prof. Enric Trillas.