Ross Girshick is a research scientist with the terrific group of researchers and engineers in Facebook AI Research (FAIR). Ross finished his Ph.D. in computer vision at the University of Chicago under the supervision of Pedro Felzenszwalb in 2012. During his Ph.D., he spent time as a research intern at Microsoft Research in Cambridge, U.K., working on human pose estimation from (Kinect) depth images. Then he enjoyed two wonderful years as a postdoc at UC Berkeley under Jitendra Malik. From Berkeley, Ross worked for one year as a researcher at Microsoft Research in Redmond, Wash. Ross has participated in several first-place entries into the PASCAL VOC object detection challenge, and was awarded a "lifetime achievement" prize for work on deformable part models. More recently, Ross worked with wonderful colleagues to pioneer R-CNN (Region-based Convolution Neural Networks), currently the dominant approach to object detection.