Negar Rostamzadeh is a Research Scientist at Google Brain Ethical AI team, where she studies the social impact of computer vision technologies. Prior to that, Negar was a research scientist at Element AI, where she worked on efficient sampling and labeling approaches in a variety of multimedia and computer vision problems. Negar obtained her PhD from the University of Trento, where she was advised by Nicu Sebe. Her main area of research during her PhD was on large scale video understanding problems. During her PhD, she spent two years at MILA, where she worked on attention mechanism in videos, video captioning and generation under the supervision of Aaron Courville. Negar was a co-founder of Women in Deep Learning (WiDL) in 2016, and a co-organizer of WiML, WiCV and WiDL in 2017. In 2019, Negar served as the senior program chair of the Montreal AI Symposium.