Ahmad Beirami received the B.Sc. degree in electrical engineering from Sharif University of Technology, Tehran, Iran, in 2007 and the M.Sc. and Ph.D. degrees in electrical and computer engineering from Georgia Institute of Technology, Atlanta, GA, USA, in 2011 and 2014, respectively. He is currently a postdoctoral fellow with the school of engineering and applied sciences at Harvard University, and also with electrical engineering and computer science department at MIT. Prior to this, he was a Postdoctoral Associate at information initiative at Duke University (iiD). His research interests broadly include information theory, statistics, machine learning, and networks. His Ph.D. work focused on the information theoretic limits of redundancy elimination from network data using universal prediction and unsupervised learning, which received the Center for Signal and Information Processing Outstanding Research Award in 2014, the 2013-2014 School of ECE Graduate Research Excellence Award, and the 2015 Sigma Xi Best Ph.D. Thesis Award, all from Georgia Institute of Technology.