Amir Globerson received his BSc in computer science and physics in 1997 from the Hebrew University, and his PhD in computational neuroscience from the Hebrew University in 2006. After his PhD, he was a postdoctoral fellow at the University of Toronto and a Rothschild postdoctoral fellow at MIT. He joined the Hebrew University school of computer science in 2008, and moved to the Tel Aviv University School of Computer Science in 2015. Prof. Globerson’s research interests include machine learning, probabilistic inference, convex optimization, neural computation and natural language processing. He is an associate editor for the Journal of Machine Learning Research, and the Associate Editor in Chief for the IEEE Transactions on Pattern Analysis and Machine Intelligence. His work has received several prizes including five paper awards (two at NIPS, two at UAI, and one at ICML), as well as one runner up for best paper at ICML. His research has been supported by several grants and awards from ISF, BSF, GIF, Intel, HP, and Google. In 2015 he was a visiting scientist at Google Mountain View and since 2017 he is a Research Scientist at Google in Tel Aviv.