Constantinos Daskalakis is a Professor of Computer Science and Electrical Engineering at MIT. He holds a Diploma in Electrical and Computer Engineering from the National Technical University of Athens, and a Ph.D. in Electrical Engineering and Computer Sciences from UC-Berkeley. He works on Computation Theory and its interface with Game Theory, Economics, Probability Theory, Machine Learning and Statistics. He has resolved long-standing open problems about the computational complexity of the Nash equilibrium, the mathematical structure and computational complexity of multi-item auctions, and the behavior of machine-learning methods. He has obtained computationally and statistically efficient methods for statistical hypothesis testing and learning in high-dimensional settings, as well as results characterizing the structure and concentration properties of high-dimensional distributions. He has been honored with the 2007 Microsoft Graduate Research Fellowship, the 2008 ACM Doctoral Dissertation Award, the Game Theory and Computer Science (Kalai) Prize from the Game Theory Society, the 2010 Sloan Fellowship in Computer Science, the 2011 SIAM Outstanding Paper Prize, the 2011 Ruth and Joel Spira Award for Distinguished Teaching, the 2012 Microsoft Research Faculty Fellowship, the 2015 Research and Development Award by the Giuseppe Sciacca Foundation, the 2017 Google Faculty Research Award, the 2018 Simons Investigator Award, the 2018 Rolf Nevanlinna Prize from the International Mathematical Union, the 2018 ACM Grace Murray Hopper Award, the 2019 Bodossaki Foundation Distinguished Young Scientists Award, and the 2019 Frank Quick Faculty Research Innovation Fellowship. He is also a recipient of Best Paper awards at the ACM Conference on Economics and Computation in 2006 and in 2013.